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...
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Main Authors: | , , , |
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Format: | Article |
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Elsevier
2024
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Online Access: | http://eprints.um.edu.my/45457/ https://doi.org/10.1016/j.neucom.2024.127512 |
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