Deep-learning enabled ultrasound based detection of gallbladder cancer in northern India: a prospective diagnostic study.

ABSTRACT:

Background

Gallbladder cancer (GBC) is highly aggressive. Diagnosis of GBC is challenging as benign gallbladder lesions can have similar imaging features. We aim to develop and validate a deep learning (DL) model for the automatic detection of GBC at abdominal ultrasound (US) and compare its diagnostic performance with that of radiologists.

Methods

In this prospective study, a multiscale, second-order pooling-based DL classifier model was trained (training and validation cohorts) using the US data of patients with gallbladder lesions acquired between August 2019 and June 2021 at the Postgraduate Institute of Medical Education and research, a tertiary care hospital in North India. The performance of the DL model to detect GBC was evaluated in a temporally independent test coh

SUBMITTER: Gupta P 

PROVIDER: S-EPMC11096661 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature