Multi-adapter SAM-inspired bronchoscopic image segmentation for lung cancer diagnosis.
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| Title: | Multi-adapter SAM-inspired bronchoscopic image segmentation for lung cancer diagnosis. |
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| Authors: | Li Q; Department of Thoracic Surgery, Beijing Genertec Aerospace Hospital, Beijing, China.; Department of Thoracic Surgery the Fourth Hospital of Hebei Medical University, Shijiazhuang, China., Liu X; Department of Thoracic Surgery the Fourth Hospital of Hebei Medical University, Shijiazhuang, China., Ye C; School of Pharmacy, Hebei Medical University, Shijiazhuang, China., Cui S; School of Computer Science, Hunan University of Technology and Business, Changsha, Hunan, China., Zhang J; Department of Thoracic Surgery the Fourth Hospital of Hebei Medical University, Shijiazhuang, China., Meng X; China General Technology Group, Strategy Planning & Consulting Department, Beijing, China., Guo J; School of Medical Technology, Beijing Institute of Technology, Beijing, China., Min X; Department of Thoracic Surgery, Beijing Genertec Aerospace Hospital, Beijing, China. |
| Source: | Frontiers in oncology [Front Oncol] 2026 Feb 20; Vol. 16, pp. 1706202. Date of Electronic Publication: 2026 Feb 20 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2234-943X |
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| DOI: | 10.3389/fonc.2026.1706202 |
