Prognostic Analysis Combining Histopathological Features and Clinical Information to Predict Colorectal Cancer Survival from Whole-Slide Images

Author:

Cai Chengfei,Zhou Yangshu,Jiao Yiping,Li Liang,Xu Jun

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Reference45 articles.

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2. Ogino, H., Taylor, J.W., Nejo, T., Gibson, D., Watchmaker, P.B., Okada, K., Saijo, A., Tedesco, M.R., Shai, A., Wong, C.M., et al.: Randomized trial of neoadjuvant vaccination with tumor-cell lysate induces t cell response in low-grade gliomas. The Journal of clinical investigation 132 (2022)

3. Foersch S, Lang-Schwarz C, Eckstein M, Geppert C, Schmitt M, Konukiewitz B, Groll T, Schicktanz F, Engel J, Gleitsmann M et al. pt3 colorectal cancer revisited: a multicentric study on the histological depth of invasion in more than 1000 pt3 carcinomas—proposal for a new pt3a/pt3b subclassification. British journal of cancer 2022;127:1270–1278.

4. Aaboubout Y, Toom QM, Ridder MA, De Herdt MJ, Steen B, Lanschot CG, Barroso EM, Nunes Soares MR, Ten Hove I, Mast H et al. Is the depth of invasion a marker for elective neck dissection in early oral squamous cell carcinoma? Frontiers in Oncology 2021;11:628320.

5. Wang F, Tan R, Feng K, Hu J, Zhuang Z, Wang C, Hou J, Liu X. Magnetic resonance imaging-based radiomics features associated with depth of invasion predicted lymph node metastasis and prognosis in tongue cancer. Journal of Magnetic Resonance Imaging 2022;56:196–209.

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