4 papers
VesselRW: Weakly Supervised Subcutaneous Vessel Segmentation via Learned Random Walk Propagation
Ayaan Nooruddin Siddiqui, Mahnoor Zaidi, Ayesha Nazneen Shahbaz +2
The task of parsing subcutaneous vessels in clinical images is often hindered by the high cost and limited availability of ground truth data, as well as the challenge of low contra…
DualResolution Residual Architecture with Artifact Suppression for Melanocytic Lesion Segmentation
Vikram Singh, Kabir Malhotra, Rohan Desai +3
Lesion segmentation, in contrast to natural scene segmentation, requires handling subtle variations in texture and color, frequent imaging artifacts (such as hairs, rulers, and bub…
Edge Detection for Organ Boundaries via Top Down Refinement and SubPixel Upsampling
Aarav Mehta, Priya Deshmukh, Vikram Singh +3
Accurate localization of organ boundaries is critical in medical imaging for segmentation, registration, surgical planning, and radiotherapy. While deep convolutional networks (Con…
Deeply Dual Supervised learning for melanoma recognition
Rujosh Polma, Krishnan Menon Iyer
As the application of deep learning in dermatology continues to grow, the recognition of melanoma has garnered significant attention, demonstrating potential for improving diagnost…