MCM-UNet++: A Hybrid Soft Computing Framework for Multi-Scale Polyp Segmentation via Enhanced Global Context and Adaptive Feature Fusion.
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| Title: | MCM-UNet++: A Hybrid Soft Computing Framework for Multi-Scale Polyp Segmentation via Enhanced Global Context and Adaptive Feature Fusion. |
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| Authors: | Li J; School of Computer Science, Yangtze University, Jingzhou 434025, China., Zhao M; School of Cyber Science and Engineering, Wuxi University, Wuxi 214105, China., Du Q; School of Computer Science, Yangtze University, Jingzhou 434025, China., Lu S; School of Cyber Science and Engineering, Wuxi University, Wuxi 214105, China., Peng S; Department of Creative Technologies and Product Design, National Taipei University of Business, Taipei 10051, Taiwan. |
| Source: | Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 May 26; Vol. 26 (11). Date of Electronic Publication: 2026 May 26. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1424-8220 |
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| DOI: | 10.3390/s26113380 |
