Automated Image Segmentation: Improve the Accuracy of Segmenting Tumors, Organs, or Other Structures in Medical Images using Advanced Deep Learning Techniques

Rajan Kakkar, Naeim Saifi

PePR: Performance Per Resource Unit as a Metric to Promote Small-Scale Deep Learning in Medical Image Analysis

Raghavendra Selvan, Bob Pepin, Christian Igel

Intelligent Beetle Antenna Search with Deep Transfer Learning Enabled Medical Image Classification Model

Mohamed Ibrahim Waly

Figure S2 from Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging

Yiwen Xu, Ahmed Hosny, Roman Zeleznik

Machine Learning in Medical Imaging

Hybrid Image Denoising via Sliced Ridgelet Transform and Attention-Guided Deep Learning for Medical and Industrial Applications

Brahmanandam Sharath Gattagoni, Krishnanaik Vankdoth et al.

Deep Learning-Enabled Cardiac Abnormality Detection: A Comprehensive Pipeline for Early Prediction and Image Enhancement in Medical Imaging

Venkata Kiran S, N. Mounika, Sasank Kumar Reddy S

Integration of Deep Learning Machine Models with Conventional Diagnostic Tools in Medical Image Analysis for Detection and Diagnosis of Novel Coronavirus (COVID-19)

Lakshmi Narasimha Gunturu, Girirajasekhar Dornadula et al.

Efficacy of Medical Image Transformations within an Open Sourced Head and Neck Deep Learning Auto-Contouring Framework

Dominic LaBella, L.K. Noah-Vermillion, R. Kincaid

Cross-modality deep learning for medical image segmentation: A scoping review of methods, clinical validation, and the ultrasound domain

Khalid Alquwyanim, Kumaradevan Punithakumar, Salamah Alshammari et al.

Multi-Domain Medical Image Enhancement and Diagnosis: A Unified Deep Generative Framework with Transferable Learning and Attention Mechanisms

Vennila R, Vijaya K

Using Deep Learning to Predict Head-Neck and Lung Cancer Treatment Response from Serial Medical Imaging

Admir Mulita, Francesk Mulita, Georgios‐Ioannis Verras et al.