Explainable Deep Learning Models for Multi-Disease Medical Imaging: Integrating ResNet, DenseNet, and Bottleneck Architectures for Transparent Diagnostic Radiology

Muhammad Usama Javed, Ayesha Riaz, Fakiha Khan

A Review on AI-augmented Dual-phase Denoising Using Sliced Ridgelet Transform and Deep Learning for Medical and Industrial Image Restoration

Brahmanandam Sharath G, Krishnanaik Vankdoth

Internet of Things-based Smart Health Monitoring and Virtual Patient Simulation Systems, Deep Learning-based Medical Imaging and Brain–Computer Interface Technologies, and Digital Twin-based Clinical and Medical Care Pro

Retraction: Multimodal Medical Image Fusion using Grey World Algorithm and Deep Learning ( J. Phys.: Conf. Ser. 1717 012038)

A scalable and component-based deep learning parallelism platform : an application to convolutional neural networks for medical imaging segmentation.

Soulaimane Guedria

Using Deep Learning for Classification of Lung Nodules on Computed Tomography Images

Qingzeng Song, Lei Zhao, XingKe Luo

Integrating deep learning algorithm for the lung segmentation with body-part-specific anatomical classification of medical imaging data hosted by Medical Imaging and Data Resource Center (MIDRC)

Nadya Shusharina, Deepa Krishnaswamy, Paul E. Kinahan et al.

Biomedical imaging and analysis through deep learning

Karen Drukker, Pingkun Yan, Adam Sibley

Comparative Analysis of CNN and VGG Deep Learning Models for Accurate Blood Cancer Classification and Diagnosis Using Multimodal Medical Imaging

Anbalagan S, Ahmad Al-Qerem, Sravanthi

Automated Detection and Classification of Pancreatic Tumors in Medical Imaging using Deep Learning: A CNN-Based Approach with Keras Sequential API

Saumya Taneja

Empowering multi-class medical data classification by Group-of-Single-Class-predictors and transfer optimization: Cases of structured dataset by machine learning and radiological images by deep learning

Tengyue Li, Simon James Fong, Sabah Mohammed

Deep learning-based cardiovascular image diagnosis: A promising challenge

Kelvin K. L. Wong, Giancarlo Fortino, Derek Abbott