Deep convolutional neural network based medical image classification for disease diagnosis

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The Application of 6G and Augmented Reality Technology in Education and Training

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Artificial Intelligence in Histopathology

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Computer-aided cholelithiasis diagnosis using explainable convolutional neural network

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Convolutional Neural Networks Based Diagnosis of Myocardial Infarction in Electrocardiograms

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Detection of COVID-19 from X-rays using hybrid deep learning models

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Stage-independent biomarkers for Alzheimer’s disease from the living retina: an animal study

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A Modified LBP Operator-Based Optimized Fuzzy Art Map Medical Image Retrieval System for Disease Diagnosis and Prediction

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SVM on Top of Deep Networks for Covid-19 Detection from Chest X-ray Images

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Detection and classification of lung diseases using deep learning

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A Fine-Tuned Hybrid Stacked CNN to Improve Bengali Handwritten Digit Recognition

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Domain and Histopathology Adaptations–Based Classification for Malignancy Grading System

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Smart Healthcare Monitoring System: Integrating IoT, Deep Learning, and XGBoost for Real-time Patient Diagnosis

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Determination of Covid-19 Possible Cases by Using Deep Learning Techniques

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Impact Of Machine Learning Models In Pneumonia Diagnosis With Features Extracted From Chest X-Rays Using VGG16

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Virtual cleaning of works of art using deep convolutional neural networks

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Deep Learning of Brain Asymmetry Images and Transfer Learning for Early Diagnosis of Dementia

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A Systematic Approach for Deep Learning Based Brain Tumor Segmentation

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Conversion and Implementation of State-of-the-Art Deep Learning Algorithms for the Classification of Diabetic RetinopathyPreprint

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Radiomics in preclinical imaging research: methods, challenges and opportunities

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Analysis of the Nosema Cells Identification for Microscopic Images

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An intelligent medical image classification system using few‐shot learning

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Area Efficient Compression for Floating-Point Feature Maps in Convolutional Neural Network Accelerators

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New Deep Learning Models for Medical Imaging: Deep Belief Network, GAN, Autoencoder

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Revolutionizing Image Analysis for Precision Diagnosis and Recognition Using Cutting-Edge Visual Encoding

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Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data

Xu, Y., Zhang, J., & Gu, Y. (2024) · IEEE Conference on Artificial Intelligence (CAI) · doi:10.1109/cai59869.2024.00204 · Cited by 12

Automatic Multichannel Electrocardiogram Record Classification Using XGBoost Fusion Model

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Deep Learning Using Havrda-Charvat Entropy for Classification of Pulmonary Optical Endomicroscopy

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Efficient Detection of Longitudinal Bacteria Fission Using Transfer Learning in Deep Neural Networks

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End-to-end pre-trained CNN-based computer-aided classification system design for chest radiographs

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Lightweight Transfer Learning Models for Ultrasound-Guided Classification of COVID-19 Patients

Karar, M. E., Reyad, O., Abd‐Elnaby, M., Abdel‐Aty, A., & Shouman, M. A. (2021) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2021.018671 · Cited by 11

A Low-Power Analog Processor-in-Memory-Based Convolutional Neural Network for Biosensor Applications

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Lightweight dual-stream multi-scale feature fusion medical image multi-disease adaptation classification network based on guided enhancement

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Time series classification with their image representation

Homenda, W., Jastrzębska, A., Pedrycz, W., & Wrzesień, M. (2023) · Neurocomputing · doi:10.1016/j.neucom.2023.127214 · Cited by 10

SWMA-UNet: Multi-Path Attention Network for Improved Medical Image Segmentation

Tang, X., Li, J., Liu, Q., Zhou, C., Zeng, P., Meng, Y., Xu, J., Tian, G., & Yang, J. (2024) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2024.3523492 · Cited by 10

Aux-MVNet: Auxiliary Classifier-Based Multi-View Convolutional Neural Network for Maxillary Sinusitis Diagnosis on Paranasal Sinuses View

Lim, S.-H., Kim, J.-H., Kim, Y. J., Cho, M. Y., Jung, J. U., Ha, R. K., Jung, J. H., Kim, S.-T., & Kim, K. G. (2022) · Diagnostics · doi:10.3390/diagnostics12030736 · Cited by 10

The Study of the Effectiveness of Advanced Algorithms for Learning Neural Networks Based on FPGA in the Musical Notation Classification Task

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X-Ray Lung Image Classification Using a Canny Edge Detector

Jadwaa, S. K. (2022) · Journal of Electrical and Computer Engineering · doi:10.1155/2022/3081584 · Cited by 10

Intelligence Quotient Classification from Human MRI Brain Images Using Convolutional Neural Network

Arya, A., & Manuel, M. (2020) · International Conference on Computational Intelligence and Communication Networks (CICN) · doi:10.1109/cicn49253.2020.9242552 · Cited by 10

Channel-Weighted Squeeze-and-Excitation Networks For Epileptic Seizure Detection

Ke, N., Lin, T., & Lin, Z. (2021) · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · doi:10.1109/ictai52525.2021.00106 · Cited by 10

Detection of Cancer in Medical Images using Deep Learning

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Refocus attention span networks for handwriting line recognition

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Deep chest X‐ray : Detection and classification of lesions based on deep convolutional neural networks

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Deep learning-based approach to the characterization and quantification of histopathology in mouse models of colitis

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Efficient Thorax Disease Classification and Localization Using DCNN and Chest X-ray Images

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LK-UNet: Large Kernel Design for 3D Medical Image Segmentation

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Performance Comparison of Convolutional Neural Network-Based Hearing Loss Classification Model Using Auditory Brainstem Response Data

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Enhancing the performance of CNN models for pneumonia and skin cancer detection using novel fractional activation function

Kumar, M., & Mehta, U. (2024) · Applied Soft Computing · doi:10.1016/j.asoc.2024.112500 · Cited by 11

Drone-Assisted Plant Stress Detection Using Deep Learning: A Comparative Study of YOLOv8, RetinaNet, and Faster R-CNN

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Artificial intelligence for medical imaging: U-Net technology for anatomical feature analysis

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Handcrafted vs. Deep Radiomics vs. Fusion vs. Deep Learning: A Comprehensive Review of Machine Learning -Based Cancer Outcome Prediction in PET and SPECT Imaging

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COVID-19 Chest X-ray Image Generation Using ResNet-DCGAN Model

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Reviewing ViBe, a Popular Background Subtraction Algorithm for Real-Time Applications

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Apple Varieties Classification using Light Weight CNN Model

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Graphic Design of 3D Animation Scenes Based on Deep Learning and Information Security Technology

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EXplainable Artificial Intelligence (XAI) for MRI brain tumor diagnosis: A survey

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Implementation of Convolutional Neural Network in the classification of red blood cells have affected of malaria

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Use of Automated Thematic Annotations for Small Data Sets in a Psychotherapeutic Context: Systematic Review of Machine Learning Algorithms

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A Substitution of Convolutional Layers by FFT Layers - A Low Computational Cost Version

Mohammmad, U. F., & Almekkawy, M. K. (2021) · IEEE International Ultrasonics Symposium · doi:10.1109/ius52206.2021.9593687 · Cited by 9

Deep Learning with Optimal Hierarchical Spiking Neural Network for Medical Image Classification

Jenifer, P. I. R., & Kannan, S. (2022) · Computer Systems Science and Engineering · doi:10.32604/csse.2023.026128 · Cited by 9

A power-efficient optimizing framework FPGA accelerator for YOLO

Li, S., Yu, C., Xie, T., & Feng, W. (2022) · International Congress on Image and Signal Processing (CISP) · doi:10.1109/cisp-bmei56279.2022.9980321 · Cited by 9

DLA-E: a deep learning accelerator for endoscopic images classification

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Challenges in Explaining Brain Tumor Detection

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Classification Of X-ray COVID-19 Image Using Convolutional Neural Network

James, R. M., Kusrini, K., & Arief, M. R. (2020) · International Conference on Cybernetics and Intelligent System (ICORIS) · doi:10.1109/icoris50180.2020.9320828 · Cited by 11

Local Features Based Deep Learning for Mammographic Image Classification: In Comparison to CNN Models

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Classification of Companion Animals’ Ocular Diseases: Domain Adversarial Learning for Imbalanced Data

Nam, M.-G., & Dong, S.-Y. (2023) · IEEE Access · doi:10.1109/access.2023.3344579 · Cited by 8

Multi-Score Prediction for Lung Infection Severity in Chest X-Ray Images

Slika, B., Dornaika, F., & Hammoudi, K. (2024) · IEEE Transactions on Emerging Topics in Computational Intelligence · doi:10.1109/tetci.2024.3359082 · Cited by 8

Artificial intelligence in the oncology workflow: Applications, limitations, and future perspectives

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Multi-Disease Diagnosis Using Medical Images

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Enhancing Burn Severity Assessment With Deep Learning: A Comparative Analysis and Computational Efficiency Evaluation

Rahman, S., Rahman, M. M., Faezipour, M., Rastgaar, M., Ridelman, E., Klein, J. D., Angst, B. A., & Shanti, C. M. (2024) · IEEE Access · doi:10.1109/access.2024.3476110 · Cited by 10

Detection of Subarachnoid Hemorrhage Using CNN with Dynamic Factor and Wandering Strategy-Based Feature Selection

Sengupta, J., Alzbutas, R., Iešmantas, T., Petkus, V., Barkauskienė, A., Ratkunas, V., Lukoševičius, S., Preikšaitis, A., Lapinskienė, I., Šerpytis, M., et al. (2024) · Diagnostics · doi:10.3390/diagnostics14212417 · Cited by 8

Alzheimer’s disease prediction using CAdam optimized reinforcement learning-based deep convolutional neural network model

Chaudhari, P. A., & Khot, S. S. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2025.107968 · Cited by 8

Multi-Layer ResNet-DenseNet architecture in consort with the XgBoost classifier for intracranial hemorrhage (ICH) subtype detection and classification

Nizarudeen, S., & Shunmugavel, G. R. (2022) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-221177 · Cited by 8

Enhanced Breast Cancer Detection in Multiple Imaging Modalities using Deep Learning

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Deep Transfer Learning Optimization Techniques for Medical Image Classification: A Review

Kariuki, P., Gikunda, P., & Wandeto, J. (2023) · International Conference on Intelligent Computing and Machine Learning (2ICML) · doi:10.1109/2icml58251.2022.00013 · Cited by 9

Review on Detecting Pneumonia in Deep Learning

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Deep learning generation of preclinical Positron Emission Tomography (PET) images from low-count PET with task-based performance assessment

Dutta, K., Laforest, R., Luo, J.-Q., Jha, A. K., & Shoghi, K. (2024) · Medical Physics (Lancaster) · doi:10.1002/mp.17105 · Cited by 7

A Faster Privacy-Preserving Medical Image Diagnosis Scheme with Machine Learning

Ran, J., & Li, D. (2025) · Journal of Imaging Informatics in Medicine · doi:10.1007/s10278-024-01384-4 · Cited by 9

PRCnet: An efficient model for automatic detection of brain tumor in MRI images

Farhan, A. S., Khalid, M., & Manzoor, U. (2025) · PLoS ONE · doi:10.1371/journal.pone.0292768 · Cited by 9

Automatic Classification of 12-lead ECG Based on Model Fusion

Ye, X., & Lü, Q. (2020) · International Congress on Image and Signal Processing (CISP) · doi:10.1109/cisp-bmei51763.2020.9263559 · Cited by 8

Optic Disk Extraction and Hard Exudate Identification in Fundus Images using Computer Vision and Machine Learning

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Artificial Intelligence in Biometrics: Uncovering Intricacies of Human Body and Mind

Gavrilova, M. L., Luchak, I., Sudhakar, T., & Tumpa, S. N. (2022) · Learning and analytics in intelligent systems · doi:10.1007/978-3-030-93052-3_7 · Cited by 8

Computer Vision: The Effectiveness of Deep Learning for Emotion Detection in Marketing Campaigns

Naidoo, S. W., Naicker, N., Patel, S. S., & Govender, T. P. (2022) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2022.01305100 · Cited by 8

A Tailored Complex Medical Decision Analysis Model for Diabetic Retinopathy Classification Based on Optimized Un-Supervised Feature Learning Approach

Jena, M., Mishra, D., Mishra, S. P., & Mallick, P. K. (2022) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-022-07057-0 · Cited by 8

Pre-trained convolution neural networks models for content-based medical image retrieval

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Error approximation and bias correction in dynamic problems using a recurrent neural network/finite element hybrid model

von Tresckow, M., Gersem, H. D., & Loukrezis, D. (2024) · Applied Mathematical Modelling · doi:10.1016/j.apm.2024.02.004 · Cited by 7

Optimization of Wheelchair Control via Multi-Modal Integration: Combining Webcam and EEG

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An overview of computer—aided medical image classification

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