OncoSeg2D: A deep framework for semantic segmentation of lung cancer in 2D CT scans.

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Title: OncoSeg2D: A deep framework for semantic segmentation of lung cancer in 2D CT scans.
Authors: Yu L; Senior Department of Oncology, Chinese PLA General Hospital, Beijing, China., Dong X; Department of Oncology, Beijing Chaoyang Integrative Medicine Rescue and First Aid Hospital, Beijing, China., Fa K; Department of Ultrasound Diagnosis, The Sixth Medical Center of Chinese PLA General Hospital, Beijing, China., Li Y; Department of Integrated Traditional Chinese and Western Medicine, Affiliated Hospital of Hebei University, Baoding, Hebei, China.
Source: PloS one [PLoS One] 2026 Jul 02; Vol. 21 (7), pp. e0348719. Date of Electronic Publication: 2026 Jul 02 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0348719