Recent research has focused on multimodal medical image segmentation. A cascaded V-net and H-DenseUNet approach have improved Dice scores, but at the expense of high computational complexity.

Exploring the Past and Current Landscape of Biomarker-Driven Clinical Trials Through Large Language Models First, we pretrained the encoder of a transformer-based network using a self-supervised ...

Researchers from Science Tokyo develop a Multi-scale Hessian-enhanced Patch-based Neural Network Model for Segmentation of Liver Tumor from CT Scans. Liver cancer is the sixth most common cancer ...

Quibim, a global company pioneering imaging biomarkers for precision medicine, is today announcing the launch of a new product, QP-Liver, which improves the diagnosis of diffuse liver diseases through ...

A new liver tissue engineering strategy called BOOST could help bridge the transplant gap for thousands of end-stage liver ...