Pancreas segmentation using AI developed on the largest CT dataset with multi-institutional validation and implications for early cancer detection

Sovanlal Mukherjee; Ajith Antony; Nandakumar G. Patnam; Kamaxi H. Trivedi; Aashna Karbhari; Madhu Nagaraj; Murlidhar Murlidhar; Ajit H. Goenka

doi:10.1038/s41598-025-01802-9

Pancreas segmentation using AI developed on the largest CT dataset with multi-institutional validation and implications for early cancer detection

S Sovanlal Mukherjee A Ajith Antony N Nandakumar G. Patnam K Kamaxi H. Trivedi A Aashna Karbhari M Madhu Nagaraj M Murlidhar Murlidhar A Ajit H. Goenka

Download PDF View Original

APA MLA Chicago BibTeX RIS

Article Details

Journal Scientific Reports

Volume / Issue Vol. 15, Issue 1

Published May 16, 2025

DOI 10.1038/s41598-025-01802-9

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (8)

S

Sovanlal Mukherjee

A

Ajith Antony

N

Nandakumar G. Patnam

K

Kamaxi H. Trivedi

A

Aashna Karbhari

M

Madhu Nagaraj

M

Murlidhar Murlidhar

A

Ajit H. Goenka

Pancreas segmentation using AI developed on the largest CT dataset with multi-institutional validation and implications for early cancer detection

Article Details

Journal Info

Authors (8)

Related Articles from this Journal

AI models of unstable flow exhibit hallucination

The MCAA-YOLO + XPBI integrated model provides a hybrid intelligent measurement method for predicting the body weight of Hu sheep

Application of iron nano-biofertilizers as a sustainable approach to enhance growth and micronutrient uptake in soybean

Adolescents’ status-dependent public and private conformity to prosocial and antisocial decisions in a public goods game

An explainable hierarchical capsule network framework for supporting expert sensory evaluation of herbal medicines with natural language generation