IEEE

DEAP-3DSAM: Decoder Enhanced and Auto Prompt SAM for 3D Medical Image Segmentation

Abstract: The Segment Anything Model (SAM) has recently demonstrated significant potential in medical image segmentation. Although SAM is primarily trained on 2D images, attempts have been made to ...

Gastrointestinal Neuroendocrine Tumors Therapies Poised for Rapid Uptake with Positive Phase III Data Across Key Assets | DelveInsight

On June 3, 2025, the FDA granted Fast Track designation to CHM-CDH17, a third-generation CAR-T therapy targeting CDH17 for ...
LP Gas magazine

Research shows millennials present a promising demographic for the propane industry

But when millennials think of you – the propane industry – do you know what they think? That’s one of the questions the ...
IEEE

U-Net V2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation

Abstract: In this paper, we introduce U-Net v2, a new robust and efficient U-Net variant for medical image segmentation. It aims to augment the infusion of semantic information into low-level features ...