Papers
1–3 of 3Research Paper·Feb 24, 2026
XMorph: Explainable Brain Tumor Analysis Via LLM-Assisted Hybrid Deep Intelligence
Deep learning has significantly advanced automated brain tumor diagnosis, yet clinical adoption remains limited by interpretability and computational constraints. Conventional models often act as opaq...
8.0 viability
Research Paper·Jan 21, 2026
Tracing 3D Anatomy in 2D Strokes: A Multi-Stage Projection Driven Approach to Cervical Spine Fracture Identification
Cervical spine fractures are critical medical conditions requiring precise and efficient detection for effective clinical management. This study explores the viability of 2D projection-based vertebra ...
7.0 viability
Research Paper·Feb 17, 2026
Intracoronary Optical Coherence Tomography Image Processing and Vessel Classification Using Machine Learning
Intracoronary Optical Coherence Tomography (OCT) enables high-resolution visualization of coronary vessel anatomy but presents challenges due to noise, imaging artifacts, and complex tissue structures...
6.0 viability