2 papers
eess.IV2026
Comparative Analysis of Deep Learning Architectures for Multi-Disease Classification of Single-Label Chest X-rays
Ali M. Bahram, Saman Muhammad Omer, Hardi M. Mohammed
Chest X-ray imaging remains the primary diagnostic tool for pulmonary and cardiac disorders worldwide, yet its accuracy is hampered by radiologist shortages and inter-observer vari…
eess.IV2025
Enhanced Chest Disease Classification Using an Improved CheXNet Framework with EfficientNetV2-M and Optimization-Driven Learning
Ali M. Bahram, Saman Muhammad Omer, Hardi M. Mohammed +1
The interpretation of Chest X-ray is an important diagnostic issue in clinical practice and especially in the resource-limited setting where the shortage of radiologists plays a ro…