📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Diagnostic Accuracy of Convolutional Neural Networks in Classifying Hepatic Steatosis from B-Mode Ultrasound Images: A Systematic Review with Meta-Analysis and Novel Validation in a Community Setting in South India (2025)

First Author: Jagadeesh A

Attributed to: Dietary ompatterns, microbiome, metabole and cardiovascular disease risk in transitioning India funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.2139/ssrn.5153451

Publication URI: http://dx.doi.org/10.2139/ssrn.5153451

Type: Preprint