141 related articles for article (PubMed ID: 37552409)
1. A deep learning model for accurately predicting cancer-specific survival in patients with primary bone sarcoma of the extremity: a population-based study.
Cheng D; Liu D; Li X; Mi Z; Zhang Z; Tao W; Dang J; Zhu D; Fu J; Fan H
Clin Transl Oncol; 2024 Mar; 26(3):709-719. PubMed ID: 37552409
[TBL] [Abstract][Full Text] [Related]
2. Deep learning models for predicting the survival of patients with hepatocellular carcinoma based on a surveillance, epidemiology, and end results (SEER) database analysis.
Wang S; Shao M; Fu Y; Zhao R; Xing Y; Zhang L; Xu Y
Sci Rep; 2024 Jun; 14(1):13232. PubMed ID: 38853169
[TBL] [Abstract][Full Text] [Related]
3. Deep learning model for predicting the survival of patients with primary gastrointestinal lymphoma based on the SEER database and a multicentre external validation cohort.
Wang F; Chen L; Liu L; Jia Y; Li W; Wang L; Zhi J; Liu W; Li W; Li Z
J Cancer Res Clin Oncol; 2023 Oct; 149(13):12177-12189. PubMed ID: 37428248
[TBL] [Abstract][Full Text] [Related]
4. Deep learning models for predicting the survival of patients with chondrosarcoma based on a surveillance, epidemiology, and end results analysis.
Yan L; Gao N; Ai F; Zhao Y; Kang Y; Chen J; Weng Y
Front Oncol; 2022; 12():967758. PubMed ID: 36072795
[TBL] [Abstract][Full Text] [Related]
5. Deep-Learning-Based Model for the Prediction of Cancer-Specific Survival in Patients with Spinal Chordoma.
Cheng D; Liu D; Li X; Zhang Z; Mi Z; Tao W; Fu J; Fan H
World Neurosurg; 2023 Oct; 178():e835-e845. PubMed ID: 37586553
[TBL] [Abstract][Full Text] [Related]
6. Development of nomograms for prognostication of patients with primary soft tissue sarcomas of the trunk and extremity: report from the Bone and Soft Tissue Tumor Registry in Japan.
Sekimizu M; Ogura K; Yasunaga H; Matsui H; Tanaka S; Inagaki K; Kawai A
BMC Cancer; 2019 Jul; 19(1):657. PubMed ID: 31272407
[TBL] [Abstract][Full Text] [Related]
7. Development and validation of survival prediction model for gastric adenocarcinoma patients using deep learning: A SEER-based study.
Zeng J; Li K; Cao F; Zheng Y
Front Oncol; 2023; 13():1131859. PubMed ID: 36959782
[TBL] [Abstract][Full Text] [Related]
8. Predicting the survival of patients with pancreatic neuroendocrine neoplasms using deep learning: A study based on Surveillance, Epidemiology, and End Results database.
Jiang C; Wang K; Yan L; Yao H; Shi H; Lin R
Cancer Med; 2023 Jun; 12(11):12413-12424. PubMed ID: 37165971
[TBL] [Abstract][Full Text] [Related]
9. Development and Validation of Novel Nomograms for Predicting Specific Distant Metastatic Sites and Overall Survival of Patients With Soft Tissue Sarcoma.
Tu Q; Hu C; Zhang H; Kong M; Peng C; Song M; Zhao C; Wang Y; Ma X
Technol Cancer Res Treat; 2021; 20():1533033821997828. PubMed ID: 33706618
[TBL] [Abstract][Full Text] [Related]
10. Development and external validation of two nomograms to predict overall survival and occurrence of distant metastases in adults after surgical resection of localised soft-tissue sarcomas of the extremities: a retrospective analysis.
Callegaro D; Miceli R; Bonvalot S; Ferguson P; Strauss DC; Levy A; Griffin A; Hayes AJ; Stacchiotti S; Pechoux CL; Smith MJ; Fiore M; Dei Tos AP; Smith HG; Mariani L; Wunder JS; Pollock RE; Casali PG; Gronchi A
Lancet Oncol; 2016 May; 17(5):671-80. PubMed ID: 27068860
[TBL] [Abstract][Full Text] [Related]
11. Development and validation of machine learning models for predicting prognosis and guiding individualized postoperative chemotherapy: A real-world study of distal cholangiocarcinoma.
Wang D; Pan B; Huang JC; Chen Q; Cui SP; Lang R; Lyu SC
Front Oncol; 2023; 13():1106029. PubMed ID: 37007095
[TBL] [Abstract][Full Text] [Related]
12. A SEER-based nomogram accurately predicts prognosis in Ewing's sarcoma.
Zhan H; Mo F; Zhu M; Xu X; Zhang B; Liu H; Dai M
Sci Rep; 2021 Nov; 11(1):22723. PubMed ID: 34811459
[TBL] [Abstract][Full Text] [Related]
13. A novel staging system based on deep learning for overall survival in patients with esophageal squamous cell carcinoma.
Zhang H; Jiang X; Yu Q; Yu H; Xu C
J Cancer Res Clin Oncol; 2023 Sep; 149(11):8935-8944. PubMed ID: 37154930
[TBL] [Abstract][Full Text] [Related]
14. Prognostic factors of sarcomas occurring in bone and joint: A SEER based study.
Zhou H; He S; Zhang D; Wang J; Yang X; Jiao J; Xu W; Yang J; Xiao J
Medicine (Baltimore); 2023 Oct; 102(43):e34231. PubMed ID: 37904412
[TBL] [Abstract][Full Text] [Related]
15. Deep-learning-based survival prediction of patients with lower limb melanoma.
Zhang J; Yu H; Zheng X; Ming WK; Lak YS; Tom KC; Lee A; Huang H; Chen W; Lyu J; Deng L
Discov Oncol; 2023 Nov; 14(1):218. PubMed ID: 38030951
[TBL] [Abstract][Full Text] [Related]
16. Deep-learning-based survival prediction of patients with cutaneous malignant melanoma.
Yu H; Yang W; Wu S; Xi S; Xia X; Zhao Q; Ming WK; Wu L; Hu Y; Deng L; Lyu J
Front Med (Lausanne); 2023; 10():1165865. PubMed ID: 37051218
[TBL] [Abstract][Full Text] [Related]
17. Deep-learning model for predicting the survival of rectal adenocarcinoma patients based on a surveillance, epidemiology, and end results analysis.
Yu H; Huang T; Feng B; Lyu J
BMC Cancer; 2022 Feb; 22(1):210. PubMed ID: 35216571
[TBL] [Abstract][Full Text] [Related]
18. External Validation and Optimization of the SPRING Model for Prediction of Survival After Surgical Treatment of Bone Metastases of the Extremities.
Sørensen MS; Gerds TA; Hindsø K; Petersen MM
Clin Orthop Relat Res; 2018 Aug; 476(8):1591-1599. PubMed ID: 30020148
[TBL] [Abstract][Full Text] [Related]
19. A Nomogram for Predicting Cancer-Specific Survival of Osteosarcoma and Ewing's Sarcoma in Children: A SEER Database Analysis.
Wang J; Zhanghuang C; Tan X; Mi T; Liu J; Jin L; Li M; Zhang Z; He D
Front Public Health; 2022; 10():837506. PubMed ID: 35178367
[TBL] [Abstract][Full Text] [Related]
20. Establishment and validation of systematic prognostic nomograms in patients over 60 years of age with osteosarcoma: A multicenter external verification study.
Shao Z; Li J; Liu Z; Bi S
Cancer Med; 2023 Apr; 12(8):9589-9603. PubMed ID: 36992547
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]