BM-BronchoLC - A rich bronchoscopy dataset for anatomical landmarks and lung cancer lesion recognition.
| Title: | BM-BronchoLC - A rich bronchoscopy dataset for anatomical landmarks and lung cancer lesion recognition. |
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| Authors: | Vu VG; Bach Mai hospital, Hanoi, 10000, Vietnam.; Hanoi Medical University, Hanoi, 10000, Vietnam.; Hoang AD; Bach Mai hospital, Hanoi, 10000, Vietnam.; Hanoi Medical University, Hanoi, 10000, Vietnam.; Phan TP; Bach Mai hospital, Hanoi, 10000, Vietnam.; Hanoi Medical University, Hanoi, 10000, Vietnam.; Nguyen ND; Bach Mai hospital, Hanoi, 10000, Vietnam.; Hanoi Medical University, Hanoi, 10000, Vietnam.; Nguyen TT; Bach Mai hospital, Hanoi, 10000, Vietnam.; Hanoi Medical University, Hanoi, 10000, Vietnam.; Nguyen DN; Bach Mai hospital, Hanoi, 10000, Vietnam.; Hanoi Medical University, Hanoi, 10000, Vietnam.; Dao NP; Bach Mai hospital, Hanoi, 10000, Vietnam.; Hanoi Medical University, Hanoi, 10000, Vietnam.; Doan TPL; Bach Mai hospital, Hanoi, 10000, Vietnam.; Nguyen TTH; Bach Mai hospital, Hanoi, 10000, Vietnam.; Trinh TH; Bach Mai hospital, Hanoi, 10000, Vietnam.; Pham TLQ; Bach Mai hospital, Hanoi, 10000, Vietnam.; Le TTT; Bach Mai hospital, Hanoi, 10000, Vietnam.; Thi Hanh P; Bach Mai hospital, Hanoi, 10000, Vietnam.; Pham VT; Bach Mai hospital, Hanoi, 10000, Vietnam.; Tran VC; Bach Mai hospital, Hanoi, 10000, Vietnam.; Vu DL; Bach Mai hospital, Hanoi, 10000, Vietnam.; Hanoi Medical University, Hanoi, 10000, Vietnam.; Tran VL; Bach Mai hospital, Hanoi, 10000, Vietnam.; Nguyen TTT; Bach Mai hospital, Hanoi, 10000, Vietnam.; Pham CP; Bach Mai hospital, Hanoi, 10000, Vietnam.; Pham GL; University of Engineering and Technology, Vietnam National University, Hanoi, 10000, Vietnam.; Luong SB; University of Engineering and Technology, Vietnam National University, Hanoi, 10000, Vietnam.; Pham TD; University of Engineering and Technology, Vietnam National University, Hanoi, 10000, Vietnam.; Nguyen DP; University of Engineering and Technology, Vietnam National University, Hanoi, 10000, Vietnam.; Truong TKA; University of Engineering and Technology, Vietnam National University, Hanoi, 10000, Vietnam.; Nguyen QM; University of Engineering and Technology, Vietnam National University, Hanoi, 10000, Vietnam.; Tran TT; University of Engineering and Technology, Vietnam National University, Hanoi, 10000, Vietnam.; Dang TB; University of Engineering and Technology, Vietnam National University, Hanoi, 10000, Vietnam.; Ta VC; University of Engineering and Technology, Vietnam National University, Hanoi, 10000, Vietnam.; Tran QL; University of Engineering and Technology, Vietnam National University, Hanoi, 10000, Vietnam.; Le DT; University of Engineering and Technology, Vietnam National University, Hanoi, 10000, Vietnam.; Vinh LS; University of Engineering and Technology, Vietnam National University, Hanoi, 10000, Vietnam. vinhls@vnu.edu.vn. |
| Source: | Scientific data [Sci Data] 2024 Mar 28; Vol. 11 (1), pp. 321. Date of Electronic Publication: 2024 Mar 28. |
| Publication Type: | Dataset; Journal Article; Research Support, Non-U.S. Gov't |
| Language: | English |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: London : Nature Publishing Group, 2014- |
| MeSH Terms: | Lung Neoplasms*/diagnostic imaging ; Bronchoscopy*; Thorax/diagnostic imaging ; Anatomic Landmarks/diagnostic imaging ; Humans ; Artificial Intelligence |
| Abstract: | Flexible bronchoscopy has revolutionized respiratory disease diagnosis. It offers direct visualization and detection of airway abnormalities, including lung cancer lesions. Accurate identification of airway lesions during flexible bronchoscopy plays an important role in the lung cancer diagnosis. The application of artificial intelligence (AI) aims to support physicians in recognizing anatomical landmarks and lung cancer lesions within bronchoscopic imagery. This work described the development of BM-BronchoLC, a rich bronchoscopy dataset encompassing 106 lung cancer and 102 non-lung cancer patients. The dataset incorporates detailed localization and categorical annotations for both anatomical landmarks and lesions, meticulously conducted by senior doctors at Bach Mai Hospital, Vietnam. To assess the dataset's quality, we evaluate two prevalent AI backbone models, namely UNet++ and ESFPNet, on the image segmentation and classification tasks with single-task and multi-task learning paradigms. We present BM-BronchoLC as a reference dataset in developing AI models to assist diagnostic accuracy for anatomical landmarks and lung cancer lesions in bronchoscopy data.; (© 2024. The Author(s).) |
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| Grant Information: | KC-4.0-40/19-25 Ministry of Science and Technology (Ministry of Science and Technology of the Socialist Republic of Vietnam) |
| Entry Date(s): | Date Created: 20240329 Date Completed: 20240401 Latest Revision: 20260225 |
| Update Code: | 20260226 |
| PubMed Central ID: | PMC10978879 |
| DOI: | 10.1038/s41597-024-03145-y |
| PMID: | 38548727 |
| Database: | MEDLINE |
Dataset; Journal Article; Research Support, Non-U.S. Gov't