Image semantic segmentation algorithm divides the image into several specific regions with unique properties, and extracts the objects of interest, it has been widely used in medical image analysis, ...

Acquiring high-quality annotated data for medical image segmentation is tedious and costly. Semi-supervised segmentation techniques alleviate this burden by leveraging unlabeled data to generate ...

The architecture integrates a frozen pre-trained LLM transformer block into a Vision Transformer, enhancing feature representation for 3D medical image segmentation through residual connections. The ...

The patient segmentation process is dynamic, whereby certain life events or disease stages will push one towards a certain segment. However each segment has its own significantly different ...

If you receive a Bad Image Error Status 0xc000012f issue when you try to run certain software, such as OneDrive, Word, etc., this post will help you.

Missense variants in the O-GlcNAc transferase ( OGT) gene have recently been shown to segregate with a syndromic form of intellectual disability (OGT-ID), underscoring the importance of protein ...