2 papers
cs.CV2026
When is 3D Worth It? A Resource-Performance Frontier for CNNs and Transformers in Lung CT
Md Enamul Hoq, Sharafat Hossain, Imraul Emmaka +4
Three-dimensional models are widely assumed preferable for volumetric medical imaging, yet their practical value depends on whether performance gains justify added computational co…
cs.CV2025
Virtual-Eyes: Quantitative Validation of a Lung CT Quality-Control Pipeline for Foundation-Model Cancer Risk Prediction
Md. Enamul Hoq, Linda Larson-Prior, Fred Prior
Robust preprocessing is rarely quantified in deep-learning pipelines for low-dose CT (LDCT) lung cancer screening. We develop and validate Virtual-Eyes, a clinically motivated 16-b…