Deep convolutional neural network based medical image classification for disease diagnosis

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Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks

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A Review of Machine Learning and Deep Learning for Object Detection, Semantic Segmentation, and Human Action Recognition in Machine and Robotic Vision

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A review of convolutional neural network based methods for medical image classification

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DermoExpert: Skin lesion classification using a hybrid convolutional neural network through segmentation, transfer learning, and augmentation

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Deep Learning for Credit Card Fraud Detection: A Review of Algorithms, Challenges, and Solutions

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Weakly supervised machine learning

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A hybrid explainable ensemble transformer encoder for pneumonia identification from chest X-ray images

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Advances in Deep Learning-Based Medical Image Analysis

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BUS‐BRA: A breast ultrasound dataset for assessing computer‐aided diagnosis systems

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Multi-classification of alzheimer disease on magnetic resonance images (MRI) using deep convolutional neural network (DCNN) approaches

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Deep CNN Model based on VGG16 for Breast Cancer Classification

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Multi- class classification of breast cancer abnormalities using Deep Convolutional Neural Network (CNN)

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Quantum Machine Learning Architecture for COVID-19 Classification Based on Synthetic Data Generation Using Conditional Adversarial Neural Network

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Wireless Capsule Endoscopy Bleeding Images Classification Using CNN Based Model

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A novel 3D-geographic information system and deep learning integrated approach for high-accuracy building rooftop solar energy potential characterization of high-density cities

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Brain Tumor MRI Classification Using a Novel Deep Residual and Regional CNN

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Brain tumor categorization from imbalanced MRI dataset using weighted loss and deep feature fusion

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Comparison of fine-tuning strategies for transfer learning in medical image classification

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A deep convolutional neural network based computer aided diagnosis system for the prediction of Alzheimer's disease in MRI images

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Risk factors for cardiovascular disease in patients with metabolic-associated fatty liver disease: a machine learning approach

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EFFResNet-ViT: A Fusion-Based Convolutional and Vision Transformer Model for Explainable Medical Image Classification

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Convolutional neural networks (CNNs): concepts and applications in pharmacogenomics

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Poultry diseases diagnostics models using deep learning

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Osteoporosis diagnosis in knee X-rays by transfer learning based on convolution neural network

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Big data applications: overview, challenges and future

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Deep Learning Techniques for the Classification of Colorectal Cancer Tissue

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An automated chest X-ray analysis for COVID-19, tuberculosis, and pneumonia employing ensemble learning approach

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Using Recurrent Neural Networks for Predicting Type-2 Diabetes from Genomic and Tabular Data

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Evaluation of urban green space landscape planning scheme based on PSO-BP neural network model

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AI-Powered Blockchain Technology for Public Health: A Contemporary Review, Open Challenges, and Future Research Directions

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Federated Learning for the Internet-of-Medical-Things: A Survey

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An efficient medical image classification network based on multi-branch CNN, token grouping Transformer and mixer MLP

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A Comprehensive Investigation of Machine Learning Feature Extraction and Classification Methods for Automated Diagnosis of COVID-19 Based on X-Ray Images

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A 3D attention networks for classification of white blood cells from microscopy hyperspectral images

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PFEMed: Few-shot medical image classification using prior guided feature enhancement

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A Novel Data Augmentation Convolutional Neural Network for Detecting Malaria Parasite in Blood Smear Images

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A cardiologist’s guide to machine learning in cardiovascular disease prognosis prediction

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Knee osteoarthritis severity prediction using an attentive multi-scale deep convolutional neural network

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Automated Detection and Characterization of Colon Cancer with Deep Convolutional Neural Networks

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Evaluating Explainable Artificial Intelligence (XAI) techniques in chest radiology imaging through a human-centered Lens

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Automated left and right ventricular chamber segmentation in cardiac magnetic resonance images using dense fully convolutional neural network

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Photoacoustic imaging aided with deep learning: a review

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Automating cell counting in fluorescent microscopy through deep learning with c-ResUnet

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Neural network-based sliding mode controllers applied to robot manipulators: A review

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Deep neural network with moth search optimization algorithm based detection and classification of diabetic retinopathy images

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Robust Classification and Detection of Big Medical Data Using Advanced Parallel K-Means Clustering, YOLOv4, and Logistic Regression

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The effectiveness of deep learning vs. traditional methods for lung disease diagnosis using chest X-ray images: A systematic review

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VGG16 Feature Extractor with Extreme Gradient Boost Classifier for Pancreas Cancer Prediction

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Deep Learning for Radiotherapy Outcome Prediction Using Dose Data – A Review

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Fully-automated deep learning pipeline for segmentation and classification of breast ultrasound images

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Deep Learning and Reinforcement Learning

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CMM-Net: Contextual multi-scale multi-level network for efficient biomedical image segmentation

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Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data

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Efficient artificial intelligence approaches for medical image processing in healthcare: comprehensive review, taxonomy, and analysis

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COVID-19 detection from lung CT-scan images using transfer learning approach

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Predictions of cervical cancer identification by photonic method combined with machine learning

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ResfEANet: ResNet-fused External Attention Network for Tuberculosis Diagnosis using Chest X-ray Images

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Thermal infrared imaging based breast cancer diagnosis using machine learning techniques

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MGML: Multigranularity Multilevel Feature Ensemble Network for Remote Sensing Scene Classification

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Diabetic Retinopathy Detection Using Deep Learning Multistage Training Method

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Transfer Learning for Stenosis Detection in X-ray Coronary Angiography

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The Classification of Six Common Skin Diseases Based on Xiangya-Derm: Development of a Chinese Database for Artificial Intelligence

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X-ray image based COVID-19 detection using evolutionary deep learning approach

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Feature fusion-based ensemble CNN learning optimization for automated detection of pediatric pneumonia

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Analysis for diagnosis of pneumonia symptoms using chest X-ray based on MobileNetV2 models with image enhancement using white balance and contrast limited adaptive histogram equalization (CLAHE)

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Brain-GCN-Net: Graph-Convolutional Neural Network for brain tumor identification

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Knee Osteoporosis Diagnosis Based on Deep Learning

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Application of Machine Learning for the Detection of Heart Disease

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Deep learning-based autofocus method enhances image quality in light-sheet fluorescence microscopy

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