IEEE

Fully Perturbed Self-Ensemble Framework using Cascaded Parallel CNN-Transformer for Semi-Supervised Medical Image Segmentation

Abstract: Semi-supervised learning (SSL) has achieved remarkable progress in the field of medical image segmentation (MIS), but it still faces two main challenges. First, the consistency learning ...
voxelmatters

Tripo AI raises nearly $200 million and launches Project Eden world model

Tripo AI, a company that we’ve been tracking for some time for its focus on 3D foundation models, closed two consecutive financing rounds—Series A+ and Series A++—totaling nearly $200 million. The ...
IEEE

Confidence-Weighted Semi-Supervised Learning for Skin Lesion Segmentation Using Hybrid CNN-Transformer Networks

Abstract: Automated skin lesion segmentation through dermoscopic analysis is essential for early skin cancer detection; however, it remains challenging because of the limited annotated training data.