2 papers
cs.CV2024
Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification
Pranav Singh, Raviteja Chukkapalli, Shravan Chaudhari +5
Advancements in clinical treatment are increasingly constrained by the limitations of supervised learning techniques, which depend heavily on large volumes of annotated data. The a…
cs.CV2024
Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation
Pranav Singh, Jacopo Cirrone
Recent advancements in self-supervised learning have unlocked the potential to harness unlabeled data for auxiliary tasks, facilitating the learning of beneficial priors. This has…