Thank you very much for developing this excellent package—it's significantly speeding up our WSI analysis workflow. However, I've noticed that the current model used for tissue segmentation struggles ...

Add a description, image, and links to the automatic-segmentation topic page so that developers can more easily learn about it.

Objective: Our research aims to develop an automated method for segmenting brain CT images in healthy 2-year-old children using the ResU-Net deep learning model. Building on this model, we aim to ...

BOULDER, Colo.--(BUSINESS WIRE)--Havah Therapeutics, a clinical stage biopharmaceutical company developing innovative therapies for prevention and treatment of breast cancers, announces the filing of ...

Abstract: An unusual mass of tissue in which some cells multiplies and grows uncontrollably is called brain tumor. It starts growing inside the skull and interpose with the regular functioning of the ...

Abstract: Automated segmentation and quantification of cellular and subcellular components in multiplexed images has allowed for a combination of both spatial and protein expression information to ...