CT-based Prediction of Visceral Pleural Invasion in Lung Adenocarcinoma ≤ 3 cm: Enhancing Deep Learning Specificity by Waiving Chest Wall Information.
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| Title: | CT-based Prediction of Visceral Pleural Invasion in Lung Adenocarcinoma ≤ 3 cm: Enhancing Deep Learning Specificity by Waiving Chest Wall Information. |
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| Authors: | Ou DX; Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan., Chen LW; Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan., Chen KY; Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan., Wang HJ; Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan., Yang SM; Department of Surgery, National Taiwan University Hospital Biomedical Park Hospital, Hsinchu County, Taiwan., Hsieh MS; Department of Pathology, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan., Chou LC; Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan., Yang CJ; Division of Thoracic Surgery, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA., Chang YC; Department of Radiology, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan., Lin MW; Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan. mwlin@ntu.edu.tw., Chen CM; Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan. chung@ntu.edu.tw., Chen JS; Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan. |
| Source: | Annals of surgical oncology [Ann Surg Oncol] 2026 May; Vol. 33 (5), pp. 4256-4266. Date of Electronic Publication: 2026 Jan 21. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 9420840 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1534-4681 (Electronic) Linking ISSN: 10689265 NLM ISO Abbreviation: Ann Surg Oncol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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