OCCMNet: Occlusion-Aware Class Characteristic Mining Network for multi-class artifacts detection in endoscopy.
| Published in: | Medical & Biological Engineering & Computing Vol. 63; no. 8; pp. 2407 - 2423 |
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| Main Authors: | , , , , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Aug2025
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=187120537&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187120537 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Aug2025 vid: 63 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 187120537 183452433 10.1007/s11517-025-03332-y 187120537 ppf: 2407 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: OCCMNet: Occlusion-Aware Class Characteristic Mining Network for multi-class artifacts detection in endoscopy. aug: au: Xu, Chenchu Chen, Yu Liu, Jie Wang, Boyan Zhang, Yanping Chen, Jie Zhao, Shu affil: https://ror.org/05th6yx34 Department of Computer Science and Technology, Anhui University, 111 Jiulong Road, 230601, Hefei, Anhui, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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