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Pathologic myopia diagnosis and localization from retinal fundus images using custom CNN
Pathologic myopia (PM) is the critical factor of irreversible visual artifacts and puts patients at risk of other severe retinal diseases such as...
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Image Analysis of Nuclei Histopathology Using Deep Learning: A Review of Segmentation, Detection, and Classification
Deep learning has recently advanced in its applicability to computer vision challenges, and medical imaging has become the most used technique in...
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A Systematic Literature Review on Multimodal Medical Image Fusion
Medical image fusion is a relevant area with widespread application in disease diagnosis and prediction with easily available image scans of Computed...
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Analysis of MRI image data for Alzheimer disease detection using deep learning techniques
Alzheimer's disease (AD) is the leading cause of dementia globally and one of the most serious future healthcare issue. AD is expected to rise from...
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Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning
Accurate diagnosis of disease often depends on the exhaustive examination of Whole Slide Images (WSI) at microscopic resolution. Efficient handling...
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MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking
Masked image modelling (MIM)-based pre-training shows promise in improving image representations with limited annotated data by randomly masking...
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An effective image-denoising method with the integration of thresholding and optimized bilateral filtering
In medical image processing, noise reduction is a particularly difficult problem to solve. Denoising can aid doctors in making a diagnosis of...
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Probabilistic medical image imputation via deep adversarial learning
The ability to impute missing images from a sequence of medical images plays an important role in enabling the detection, diagnosis and treatment of...
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A comprehensive survey to study the utilities of image segmentation methods in clinical routine
The clinicians usually desire to know the shape of the liver during treatment planning to minimize the damage to the surrounding healthy tissues and...
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Quantification of tremor dynamics via video-based analysis
Background & purposeTremor is a common movement disorder diagnosed employing electrophysiological methods. Today, machine learning (ML) algorithms...
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Retrospective Analysis of a Large-Scale Archive of Ultrasonic Movies for Ischemic Diseases of Neonatal Brain
Retrospective analysis of neonatal cranial ultrasonic movies has been effectively realized by develo** a novel movie analysis system. Despite the...
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CTSC-Net: an effectual CT slice classification network to categorize organ and non-organ slices from a 3-D CT image
Computed tomography (CT) is a non-invasive diagnostic imaging modality that reveals more insight into human organs than conventional X-rays. In...
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Multimodal medical image fusion based on nonsubsampled shearlet transform and convolutional sparse representation
Multimodal medical image fusion technology can assist doctors diagnose diseases accurately and efficiently. However the multi-scale decomposition...
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3D Deep Learning-based Boundary Regression of an Age-related Retinal Biomarker in High Resolution OCT
Vision is essential for quality of life, but is threatened by visionimpairing diseases like age-related macular degeneration (AMD). A recently...
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Intelligent multimodal medical image fusion with deep guided filtering
Medical image fusion is a synthesis of visual information present in any number of medical imaging inputs into a single fused image without any...
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A Clinically Guided Approach for Training Deep Neural Networks for Myopic Maculopathy Classification
Pathologic myopia (PM) is a sight-threatening disease characterised by abnormal ocular changes due to excessive axial elongation in myopes. One...
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Small sample color fundus image quality assessment based on gcforest
Color fundus image quality greatly influence the doctors’ diagnostic accuracy. However, the problems of imbalance data and small sample are the key...
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Design of integrated interactive system for pre-diagnosis of breast cancer pathological images based on CNN and PyQt5
In today's society, breast cancer is becoming more and more serious, and the promotion of related medical means is imminent. They require modern...
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Vision-Language Contrastive Learning Approach to Robust Automatic Placenta Analysis Using Photographic Images
The standard placental examination helps identify adverse pregnancy outcomes but is not scalable since it requires hospital-level equipment and...
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Augmenting Cervical Cancer Analysis with Deep Learning Classification and Topography Selection Using Artificial Bee Colony Optimization
According to the research and study, cervical cancer has risen to develop the fourth most communal malignancy to strike women. Five different forms...
