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摘要: Nowadays in the medical field, imaging techniques such as Optical Coherence Tomography (OCT) are mainly used to identify retinal diseases. In this paper, the Central Serous Chorio Retinopathy (CSCR) image is analyzed for various stages and then compares the difference between CSCR before as well as after treatment using different application methods. The first approach, which was focused on image quality, improves medical image accuracy. An enhancement algorithm was implemented to improve the OC关键词: OCT; CSCR; macula; segmentation; boosted anisotropic diffusion with unsharp masking filter; two class support vector machine classifier and shallow neural network with powell-beale classifier
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摘要: Brain tumors are potentially fatal presence of cancer cells over a human brain, and they need to be segmented for accurate and reliable planning of diagnosis. Segmentation process must be carried out in different regions based on which the stages of cancer can be accurately derived. Glioma patients exhibit a different level of challenge in terms of cancer or tumors detection as the Magnetic Resonance Imaging (MRI) images possess varying sizes, shapes, positions, and modalities. The scanner used 关键词: Glioma detection; segmentation; smaller tumour; growth; machine learning; feature analysis
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摘要: In recent years, computer vision finds wide applications in maritime surveillance with its sophisticated algorithms and advanced architecture. Automatic ship detection with computer vision techniques provide an efficient means to monitor as well as track ships in water bodies. Waterways being an important medium of transport require continuous monitoring for protection of national security. The remote sensing satellite images of ships in harbours and water bodies are the image data that aid the 关键词: Auto-encoder; computer vision; deep convolution neural network; satellite imagery; semantic segmentation; ship detection
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摘要: The analysis of remote sensing image areas is needed for climate detection and management, especially for monitoring flood disasters in critical environments and applications. Satellites are mostly used to detect disasters on Earth, and they have advantages in capturing Earth images. Using the control technique, Earth images can be used to obtain detailed terrain information. Since the acquisition of satellite and aerial imagery, this system has been able to detect floods, and with increasing co关键词: Clustering; segmentation; progressive image classification algorithm; satellite image; disaster detection
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摘要: Due to the rising occurrence of skin cancer and inadequate clinical expertise, it is needed to design Artificial Intelligence (AI) based tools to diagnose skin cancer at an earlier stage. Since massive skin lesion datasets have existed in the literature, the AI-based Deep Learning (DL) models find useful to differentiate benign and malignant skin lesions using dermoscopic images. This study develops an Automated Seeded Growing Segmentation with Optimal EfficientNet (ARGS-OEN) technique for skin 关键词: Computer aided diagnosis; deep learning; image segmentation; skin lesion diagnosis; dermoscopic images; medical image processing
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摘要: In recent years, Peripheral blood smear is a generic analysis to assess the person’s health status. Manual testing of Peripheral blood smear images are difficult, time-consuming and is subject to human intervention and visual error. This method encouraged for researchers to present algorithms and techniques to perform the peripheral blood smear analysis with the help of computer-assisted and decision-making techniques. Existing CAD based methods are lacks in attaining the accurate detection of a关键词: Peripheral blood smear; DCNN classifier; pre-processing; segmentation; feature extraction; salp swarm optimization; classification
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摘要: Medical image assessment is based on segmentation at its fundamental stage. Deep neural networks have been more popular for segmentation work in recent years. However, the quality of labels has an impact on the training performance of these algorithms, particularly in the medical image domain, where both the interpretation cost and inter-observer variation are considerable. For this reason, a novel optimized deep learning approach is proposed for medical image segmentation. Optimization plays an关键词: Deep learning; optimization; segmentation; medical images; tumors; classification
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摘要: Breast cancer is one of the deadly diseases prevailing in women. Earlier detection and diagnosis might prevent the death rate. Effective diagnosis of breast cancer remains a significant challenge, and early diagnosis is essential to avoid the most severe manifestations of the disease. The existing systems have computational complexity and classification accuracy problems over various breast cancer databases. In order to overcome the above-mentioned issues, this work introduces an efficient class关键词: Breast cancer; detection; segmentation; classification; malignant
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摘要: Cervical cancer is a disease that develops in the cervix’s tissue. Cervical cancer mortality is being reduced due to the growth of screening programmers. Cervical cancer screening is a big issue because the majority of cervical cancer screening treatments are invasive. Hence, there is apprehension about standard screening procedures, as well as the time it takes to learn the results. There are different methods for detecting problems in the cervix using Pap (Papanicolaou-stained) test, colposcop关键词: Cervical cancer; image segmentation; level set; threshold; watershed
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Book Chapter
Pain Margaret;Madarash Holly Oemke;Schlachter Leslie;Costa Anthony B.;Bederson Joshua B.;
Youmans & Winn Neurological SurgeryVolume , Issue , 2023, PP 258-258.e13
摘要: Recent advances in frameless stereotaxis, microscope integration, image segmentation, three-dimensional reconstruction, heads-up display (HUD), and intraoperative surgical navigation systems such as Navigation Update show promise in improving the quality of neurosurgical interventions, particularly microscope-based brain surgery. Surgeons now have the ability to apply detailed patient-specific information about critical normal and pathologic structure and their anatomic relationships directly in关键词: augmented reality;heads-up display;microscope integration;segmentation
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Book Chapter
摘要: Central nervous system development is a dynamic morphogenetic process that is among the earliest of the organ systems established postconception in the embryo. From the creation of the neural plate, which will ultimately give rise to the neural tube, there are multiple layers of cell proliferation, migration, shape changes, and cell signaling/crosstalk that must occur in a temporally and spatially defined manner. Failure to do so properly results in a collection of congenital malformations known关键词: cell kinetics;central nervous system;Dandy-Walker;lissencephaly;neural tube defects;neurulation;segmentation;spina bifida
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摘要: Manually picking of cotton bolls is a tedious, costly, and labor-intensive task, while harvesting using machines results in higher harvesting losses. By keeping selective picking in mind to maintain fiber quality, minimize harvesting losses, and tackle the shortage of farm labor in near future, cotton harvesting robots seem to be a better alternative in coming years in both developing and developed countries. For the cotton harvesting robot, cotton boll recognition with minimum errors is a forem关键词: Cotton boll recognition;Sky detection;Semantic segmentation;Convolutional neural network;Robotic harvesting;Image segmentation
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Journal
da Silva Vieira Gabriel;Rocha Bruno Moraes;Fonseca Afonso Ueslei;de Sousa Naiane Maria;Ferreira Julio Cesar;Cabacinha Christian Dias;Soares Fabrizzio;
Smart Agricultural TechnologyVolume 2, Issue , 2022, PP
摘要: Leveraged by the production of grains, oilseeds, and fresh deciduous fruits, food production has reached new heights, exceeding the amount produced in previous years and with an estimate of new records for the coming years. In this sense, technological advances are essential to reduce costs and increase quality and productivity. In this paper, we present a novel method to detect insect predation on plant leaves that uses geometric leaf properties and digital image processing techniques to constr关键词: Leaf segmentation;Foliar analysis;Insect predating;Smart farming;Precision agriculture
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摘要: CHA2DS2-VASc score system aids in clinical decision-making in subjects with atrial fibrillation (AF). Little is known on the association between CHA2DS2-VASc scores and brain structure in patients without cardiac arrhythmia. Detailed brain architecture analysis was performed. Assessment of bivariate correlation between the volume of segmented brain structures and Z-scores of CHA2DS2-VASc showed that higher risk scores correlated n关键词: Risk score;atrial fibrillation;brain segmentation;brain structure
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Journal
摘要: Breast tumor is one of the most prominent indicators for the diagnosis of breast cancer. The precise segmentation of tumors is crucial for enhancing the accuracy of breast cancer detection. A physician’s assessment of the MRI scan is time-consuming and require a lot of human effort and expertise. Furthermore, traditional medical segmentation approaches frequently need prior information or manual feature extraction, resulting in a subjective diagnosis. Therefore, the development of an automated i关键词: Generative adversarial networks;Breast MRI;Breast tumor;Parallel dilated convolution;Medical Image Segmentation
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Journal
摘要: The gradation of rockfill materials affected the rolling quality and body strength of earth-rockfill dam. To address the limitations of manual screening and traditional computer vision methods, a gradation detection method suitable for rockfill dam construction sites was proposed based on deep learning, which can output the detection results end-to-end. The method utilized the modified MASK R-CNN model to locate and segment rockfill materials. Specifically, the model used ResNeXt101 as the backb关键词: Construction;Deep learning;Granular gradation calculation;Particle segmentation;Rockfill material
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Journal
摘要: Liver and tumor segmentation from abdominal CT images is a crucial phase in machine-assisted experimental involvements. FCNN has revealed extraordinary achievement in executing semantic segmentation by using convolutional layers for the whole planning and skip connections to combine diverse resolution features along with estimations in fruitful networks, such as UNet, ResUNet, etc. However here we recommend a system that select features automatically with convolutional layers, like modified Unet关键词: Computed tomography;Semantic segmentation;Modified UNet;LITS,3D-IRCADb;Spatial information
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Journal
摘要: Stargardt disease (also known as juvenile macular degeneration or Stargardt macular degeneration) is an inherited disorder of the retina, which can occur in the eyes of children and young adults. It is the most prevalent form of juvenile-onset macular dystrophy, causing progressive (and often severe) vision loss. Images with Stargardt disease are characterized by the appearance of flecks in early and intermediate stages, and the appearance of atrophy, due to cells wasting away and dying, in the 关键词: Stargardt atrophy;Stargardt disease;Stargardt flecks;artificial intelligence;assessment;deep learning;fundus autofluorescence;screening;segmentation;spectral-domain optical coherence tomography
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Journal
摘要: Joint image segmentation and registration of multi-modality images is a crucial step in the field of image prepossessing. The sensitivity of joint segmentation and registration models to noise is a significant challenge. During the registration process of multi-modal images, the similarity measure plays a vital role in measuring the results as a standard. Accordingly, an improved joint model for registering and segmenting multi-modality images is proposed, by utilising the Bhattacharyya distance关键词: Image registration;Image segmentation;Linear curvature ;(;LC;);Bhattacharyya ;(;BC;); distance;Mutual information ;(;MI;);Dice similarity coefficient (DSC);Hausdorff distance (;HD;);Jaccard similarity coefficient (JSC)
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摘要: Damping ratio is an essential dynamic characteristic of bridge structures, and its properties have still not been well understood due to the difficulties in accurate calculation with structural health monitoring (SHM) data. It is widely accepted that the exponential attenuation (EA) method using free attenuation responses is a reliable way to calculate damping ratio. To identify the damping ratio from SHM data with EA method, a time series semantic segmentation method is proposed in this paper t关键词: Bridge;Damping ratio;Structural health monitoring;Semantic segmentation;Temperature effects
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摘要: Dry-cured ham is a traditional Mediterranean meat product consumed throughout the world. This product is very variable in terms of composition and quality. Consumer’s acceptability of this product is influenced by different factors, in particular, visual intramuscular fat and its distribution across the slice, also known as marbling. On-line marbling assessment is of great interest for the industry for classification purposes. However, until now this assessment has been traditionally carried out关键词: Dry-cured ham;Intramuscular fat;Marbling;Support vector regression;Texture analysis;Image segmentation
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Journal
摘要: Segmentation of backscattered electron (BSE) images of cementitious materials is often used to quantify different microstructural features for the sake of performance estimation at macro-scale levels. However, the heterogeneous nature of cementitious matrices compounds with varying imaging conditions can lead the conventional segmentation methods to a processing bottleneck for largescale experiments. To overcome these challenges, in this study, we evaluate the potential of deep autoencoder convo关键词: Geopolymer;Backscattered electron imaging;Segmentation;Deep learning;Convolutional neural networks
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摘要: Because the temperature has a great influence on the assimilation reaction speed, only the assimilation parameters of iron ore powder cannot compare the assimilation difference of different iron ore powder. In order to express the influence of temperature on the assimilation reaction speed, it is necessary to establish the relationship between temperature and reaction speed. The melting process of iron ore powder is transformed into its data information. There is a relationship between different关键词: Iron ore powder;Assimilation;Target detection;Algorithm segmentation
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摘要: Convolutional Neural Network (CNN) is good at processing regular data, but point clouds are regular and discretely distributed in space. In order to handle point cloud, we use graph to relate points to points and use graph convolution to process point cloud. In neurology, it is well known that the receptive field size of visual cortical neurons is regulated by stimulation. Different sizes of receptive fields have different information. So, we construct different dynamic graph with point’s neighb关键词: Graph convolution;Dynamic region selection;Feature extraction;Classification and segmentation;Point cloud
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摘要: Microbial contamination of the domestic environment can lead to food spoilage, food waste and food-borne illness generating public health concern. The present study was aimed at evaluating: microbiological contamination of domestic refrigerators using both traditional microbiological and metataxonomic methods, linking these results with consumers' characteristics, observed/stated practices in food handling and storage in households. Data were collected by means of an online survey focused on con关键词: Domestic refrigerators;Microbial contamination;Metataxonomic;Consumers segmentation;Multivariate analysis
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摘要: Proper tool paths ensure the high-efficiency and high-quality machining of workpiece. The current tool path planning method is inadequate to meet the complex process requirements for the complex workpiece of abundant local features. Due to the lack of ability of independent process decision-making, the planning effect is still heavily dependent on human experience and the planning is time-consuming and laborious, which is not conducive to shortening development cycle of new products. Therefore, 关键词: Knowledge-based expert system;Tool path planning;Point cloud semantic segmentation;Knowledge extraction
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摘要: The devastating outbreak of Coronavirus Disease (COVID-19) cases in early 2020 led the world to face health crises. Subsequently, the exponential reproduction rate of COVID-19 disease can only be reduced by early diagnosis of COVID-19 infection cases correctly. The initial research findings reported that radiological examinations using CT and CXR modality have successfully reduced false negatives by RT-PCR test. This research study aims to develop an explainable diagnosis system for the detectio关键词: Chest X-ray;Covid-19;Deep learning;Explainable AI;Infection segmentation;Lung segmentation;Transfer learning
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Journal
摘要: Segmentation of cancerous tumors in ultrasound (US) images of human organs is one of the critical problems in medical imaging. The US images are characterized by low contrast, irregular shapes, high levels of speckle-noise and acoustic shadows, making it difficult to segment the tumor. Yet, US imaging is considered one of the most inexpensive and safe imaging tests available to detect cancer in its early stages. However, an automatic segmentation method applicable to all types of US imagery does关键词: Artificial life;Fusion image;Medical image segmentation;Genetic algorithm;Ultrasound images;Breast cancer
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Journal
摘要: Industrial plants commonly generate gas emissions that are not caused intentionally. These emissions are known as fugitive emissions. Early detection of fugitive emissions helps to find points of failure in the different processes and avoid sources of pollution, helping to reduce danger to the environment and to respect legislation. Despite the importance of the problem, there are no published solutions in the specialized literature about the location and automated detection of fugitive emission关键词: 0000;1111;0000;1111;Deeplab;Deep learning;Pollution;Semantic segmentation;Smoke
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Journal
摘要: This paper presents new models for segmentation of 2D and 3D Scanning-Transmission Electron Microscope images based on the ordered median function. The main advantage of using this function is its good adaptability to the different types of images to be studied due to the wide range of weight vectors that can be cast. Classical segmentation models stand out for their ability to provide a segmentation of the original image very quickly and with low computational burden. However, they do not usual关键词: Location;Ordered median function;Segmentation;Clustering;Mixed integer linear programming
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