A deep learning-based model (DeepMPM) to help predict survival in patients with malignant pleural mesothelioma.

Li, Wei; Zhang, Minghang; Cai, Siyu; Li, Siqi; Yang, Biao; Zhou, Shijie; Pan, Yuanming; Xu, Shaofa

Li, Wei; Zhang, Minghang; Cai, Siyu; Li, Siqi; Yang, Biao; Zhou, Shijie; Pan, Yuanming; Xu, Shaofa.

Afiliación

Li W; Department of Thoracic Surgery, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Zhang M; Department of Thoracic Surgery, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Cai S; Dermatology Department, General Hospital of Western Theater Command, Chengdu, China.
Li S; Department of Thoracic Surgery, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Yang B; Surgical Intensive Care Unit, Medical Center Hospital of Qionglai City, Chengdu, China.
Zhou S; Department of Thoracic Surgery, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Pan Y; Cancer Research Center, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Xu S; Department of Thoracic Surgery, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.

Transl Cancer Res ; 12(10): 2887-2897, 2023 Oct 31.

Article en En | MEDLINE | ID: mdl-37969363

Palabras clave

Deep learning; malignant pleural mesothelioma (MPM); predictive model; prognosis

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Transl Cancer Res Año: 2023 Tipo del documento: Article País de afiliación: China

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