CDP-KDNet: Curriculum-Guided Dynamic Pruning and Knowledge Distillation for Resource-Efficient Ultrasound Elastography.

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Title: CDP-KDNet: Curriculum-Guided Dynamic Pruning and Knowledge Distillation for Resource-Efficient Ultrasound Elastography.
Authors: Li Y; School of Computer Science and Software Engineering, Southwest Petroleum University, Chengdu, China., Xiang T; School of Computer Science and Software Engineering, Southwest Petroleum University, Chengdu, China., Dang J; School of Computer Science and Software Engineering, Southwest Petroleum University, Chengdu, China., Yang H; School of Computer Science and Software Engineering, Southwest Petroleum University, Chengdu, China., Jiang J; Department of Biomedical Engineering, Michigan Technological University, Houghton, MI, USA., Peng B; School of Computer Science and Software Engineering, Southwest Petroleum University, Chengdu, China.
Source: Ultrasonic imaging [Ultrason Imaging] 2026 Jul; Vol. 48 (4), pp. 247-260. Date of Electronic Publication: 2025 Dec 29.
Publication Type: Journal Article
Journal Info: Publisher: Sage Country of Publication: England NLM ID: 7909167 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1096-0910 (Electronic) Linking ISSN: 01617346 NLM ISO Abbreviation: Ultrason Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1096-0910
DOI:10.1177/01617346251399875