Segmentation

DSNet: Automatic dermoscopic skin lesion segmentation

Automatic segmentation of skin lesions is considered a crucial step in Computer-aided Diagnosis (CAD) systems for melanoma detection. Despite its significance, skin lesion segmentation remains an unsolved challenge due to their variability in color, …

Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features

Weakly supervised disease classification of CT imaging suffers from poor localization owing to case-level annotations, where even a positive scan can hold hundreds to thousands of negative slices along multiple planes. Furthermore, although deep …