Progressive expansion: Cost-efficient medical image analysis model with reversed once-for-all network training paradigm

Low computational cost artificial intelligence (AI) models are vital in promoting the accessibility of real-time medical services in underdeveloped areas. The recent Once -For -All (OFA) network (without retraining) can directly produce a set of sub -network designs with Progressive Shrinking (PS) a...

Full description

Saved in:
Bibliographic Details
Main Authors: Lim, Shin Wei, Chan, Chee Seng, Faizal, Erma Rahayu Mohd, Ewe, Kok Howg
Format: Article
Published: Elsevier 2024
Subjects:
Online Access:http://eprints.um.edu.my/45457/
https://doi.org/10.1016/j.neucom.2024.127512
Tags: Add Tag
No Tags, Be the first to tag this record!