Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

• GA-TongueNet is proposed for tongue image semantic segmentation, effectively capturing long-range dependencies, high-level semantic information, and low-level detail information. The network ...

A Simple Deep Learning Based Image Segmentation Tool This is a simple tool that can be used for scemantic segmentations of coloured images. This tool adopts a pretrained deep learning model for ...

To address these limitations, a team of researchers has introduced Semantic-SAM, a universal image segmentation model which segments and recognizes objects at any desired granularity based on user ...

AttendSeg is a new neural network architecture from DarwinAI designed to perform image segmentation on low-power/capacity computing devices.

Added a simple evaluation file for isic dataset (script/segmentation_env). Usage: python scripts/segmentation_env.py --inp_pth *folder you save prediction images* --out_pth *folder you save ground ...