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Multimodal and multi-time-point fusion approach for automated diagnosis and grading of carotid atherosclerosis using bilateral ultrasound images and metadata.

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Title: Multimodal and multi-time-point fusion approach for automated diagnosis and grading of carotid atherosclerosis using bilateral ultrasound images and metadata.
Authors: Fang, Pinqi1, fangfanf24@163.com, Lang, Dong2,3, langdong@sjtu.edu.cn, Cheng, Di3, dicheng0412@outlook.com, Guan, Zhouyu3, patrickguan@sjtu.edu.cn, Wu, Yiting1, wyiting0416@163.com, Zhang, Yulian1, ylzhang0219@163.com, Hu, Tingting3, tingtinghu@sjtu.edu.cn, Bao, Yuqian3, yqbao@sjtu.edu.cn, Li, Huating3, huarting99@sjtu.edu.cn, Shen, Chengxing4, shencx@sjtu.edu.cn, Pu, Jun5, pujun310@hotmail.com, Sheng, Bin3,6, shengbin@cs.sjtu.edu.cn, Shen, Jie7, slyysj2009@163.com
Source: Visual Computer; Oct2025, Vol. 41 Issue 13, p11445-11462, 18p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188242554
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Multimodal and multi-time-point fusion approach for automated diagnosis and grading of carotid atherosclerosis using bilateral ultrasound images and metadata.
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  Data: <searchLink fieldCode="JN" term="%22Visual+Computer%22">Visual Computer</searchLink>; Oct2025, Vol. 41 Issue 13, p11445-11462, 18p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188242554
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        Value: 10.1007/s00371-025-04100-7
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              Text: Oct2025
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