Showing results (401-410 of 409) with videos related to
Sort By:
Pageof 41
You have reached the last page of results.This site can display upto 409 results.
NPJ Precision Oncology|May 4, 2021
Computer extracted gland features from H&E predicts prostate cancer recurrence comparably to a genomic companion diagnostic test: a large multi-site studyPatrick Leo, Andrew Janowczyk, Robin Elliott, et al.Cancer|September 6, 2022
Image analysis reveals differences in tumor multinucleations in Black and White patients with human papillomavirus-associated oropharyngeal squamous cell carcinomaCan F Koyuncu, Reetoja Nag, Cheng Lu, et al.Signal Transduction and Targeted Therapy|September 2, 2025
Pancancer outcome prediction via a unified weakly supervised deep learning modelWei Yuan, Yijiang Chen, Biyue Zhu, et al.Medical Image Analysis|December 31, 2014
Assessment of algorithms for mitosis detection in breast cancer histopathology imagesMitko Veta, Paul J van Diest, Stefan M Willems, et al.NPJ Breast Cancer|May 16, 2020
Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working GroupMohamed Amgad, Elisabeth Specht Stovgaard, Eva Balslev, et al.NPJ Breast Cancer|May 16, 2020
Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancerZuzana Kos, Elvire Roblin, Rim S Kim, et al.The Journal of Pathology|August 23, 2023
Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno-Oncology Biomarker Working Group on Breast CancerDavid B Page, Glenn Broeckx, Chowdhury Arif Jahangir, et al.The Journal of Pathology|January 17, 2024
Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast CancerChowdhury Arif Jahangir, David B Page, Glenn Broeckx, et al.The Journal of Pathology|August 23, 2023
Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: A report of the International Immuno-Oncology Biomarker Working Group on Breast CancerJeppe Thagaard, Glenn Broeckx, David B Page, et al.Pageof 41