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Computer-Aided Diagnosis of Complications After Liver Transplantation Based on Transfer Learning
AbstractLiver transplantation is one of the most effective treatments for acute liver failure, cirrhosis, and even liver cancer. The prediction of...
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Computer-Aided Diagnosis System for Alzheimer’s Disease Using Positron Emission Tomography Images
Alzheimer’s disease (AD) is a kind of neurological brain disease. It is an irretrievable, neurodegenerative brain disorder. There are no pills or...
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Computer-Aided Drug Designing
The long-used traditional methodology for novel drug discovery and drug development is an immensely challenging, multifaceted, and prolonged process....
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An Efficient Two-Stage Fusion Network for Computer-Aided Diagnosis of Diabetic Foot
The Diabetic Foot (DF) is threatening every diabetic patient’s health. Every year, more than one million people suffer amputation in the world due to...
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Aptamer-functionalized MOFs and AI-driven strategies for early cancer diagnosis and therapeutics
Metal–Organic Frameworks (MOFs) have exceptional inherent properties that make them highly suitable for diverse applications, such as catalysis,...
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Computer-Aided Breast Cancer Diagnosis from Thermal Images Using Transfer Learning
Breast cancer is one of the prevalent types of cancer. Early diagnosis and treatment of breast cancer have vital importance for patients. Various...
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Digital Breast Tomosynthesis Reconstruction Techniques in Healthcare Systems: A Review
Digital Breast Tomosynthesis (DBT) images are widely used to increase breast cancer detection and reduce recall rates in healthcare systems for...
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CAD systems for COVID-19 diagnosis and disease stage classification by segmentation of infected regions from CT images
BackgroundHere propose a computer-aided diagnosis (CAD) system to differentiate COVID-19 (the coronavirus disease of 2019) patients from normal...
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Do CRISPR-based disease diagnosis methods qualify as point-of-care diagnostics for plant diseases?
Effective plant disease management calls for a rapid, precise, and a convenient field-deployable method for early diagnosis of phytopathogens,...
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Microfluidic Systems: Recent Advances in Chronic Disease Diagnosis and Their Therapeutic Management
Microfluidics has advanced the area of diagnostics during the past ten years by offering fresh approaches that weren’t achievable with traditional...
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Utilization of Deep Convolutional Neural Networks for Accurate Chest X-Ray Diagnosis and Disease Detection
AbstractChest radiography is a widely used diagnostic imaging procedure in medical practice, which involves prompt reporting of future imaging tests...
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A Novel Deep-Learning-Based CADx Architecture for Classification of Thyroid Nodules Using Ultrasound Images
Nodules of thyroid cancer occur in the cells of the thyroid as benign or malign types. Thyroid sonographic images are mostly used for diagnosis of...
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Deep Residual Network for Diagnosis of Retinal Diseases Using Optical Coherence Tomography Images
Diabetic retinopathy occurs due to damage to the blood vessels in the retina, and it is a major health problem in recent years that progresses slowly...
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Machine Learning Classifiers Based on Dimensionality Reduction Techniques for the Early Diagnosis of Alzheimer’s Disease Using Magnetic Resonance Imaging and Positron Emission Tomography Brain Data
Machine learning techniques have become more attractive and widely used for medical image processing purposes. In particular, the diagnosis of...
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Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem
BackgroundMelanoma is one of the deadliest tumors in the world. Early detection is critical for first-line therapy in this tumor pathology and it...
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Automated CAD System for Skin Lesion Diagnosis: A Review
Skin cancer is deemed as the lethal type of cancer threatening worldwide with an increase in mortality rate per year. The growing incidences of...
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Differential Diagnosis of DCIS and Fibroadenoma Based on Ultrasound Images: a Difference-Based Self-Supervised Approach
Differentiation of ductal carcinoma in situ (DCIS, a precancerous lesion of the breast) from fibroadenoma (FA) using ultrasonography is significant...
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Building RadiologyNET: an unsupervised approach to annotating a large-scale multimodal medical database
BackgroundThe use of machine learning in medical diagnosis and treatment has grown significantly in recent years with the development of...
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Novel plant disease detection techniques-a brief review
Plant pathogens cause severe losses to agricultural yield worldwide. Tracking plant health and early disease detection is important to reduce the...
