Sign in

Soham Mandal

@sohmandal.bsky.social
23 followers 12 following 5 posts

Data Scientist @ICR/PhD @University of Cambridge, Christ's College, EMBL-EBI. Does computer vision.

PostsRepliesMedia
Soham Mandal @sohmandal.bsky.social · 23/12/2025
Super excited to see this one out! 🎉 Classpose is the result of my collaboration with @josegcpa.bsky.social to make large-scale, high-precision cell phenotyping both accessible and scalable.
141
Reposted by Soham Mandal
Trevor Graham @trevorgraham.bsky.social · 22/12/2025
All I want for xmas is... combined cell segmentation and phenotyping with high accuracy from whole slide histology images with #Classpose (semantic segmentation). www.biorxiv.org/content/10.6... From the inimitable @sohmandal.bsky.social @icr.ac.uk
biorxiv.org
Classpose: foundation model-driven whole slide image-scale cell phenotyping in H&E
Cell segmentation and phenotyping in histopathology samples are essential techniques applied across diagnostic and research workflows. However, annotation by human experts requires significant time an...
092
Reposted by Soham Mandal
Trevor Graham @trevorgraham.bsky.social · 23/01/2025
Are you an #AI #digitalpathology developer struggling to make sense of all the pathology lingo? Don't worry because @sohmandal.bsky.social & @pathologop.bsky.social are here to help with their "Histopathology glossary for AI devs" journals.plos.org/ploscompbiol... published today - congrats both
journals.plos.org
The tumour histopathology “glossary” for AI developers
The applications of artificial intelligence (AI) and deep learning (DL) are leading to significant advances in cancer research, particularly in analysing histopathology images for prognostic and treat...
0174