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Lee Ad Cooper

Showing results (1-10 of 8) with videos related to

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Proceedings : ... IEEE International Conference on Big Data. IEEE International Conference on Big Data|January 1, 2015
An Interactive Learning Framework for Scalable Classification of Pathology ImagesMichael Nalisnik, David A Gutman, Jun Kong, et al.
Softwarex|October 6, 2025
HistomicsTK: A Python toolkit for pathology image analysis algorithmsFattaneh Pourakpour, Ákos Szölgyén, Ramin Nateghi, et al.
The Journal of Pathology|December 31, 2017
PanCancer insights from The Cancer Genome Atlas: the pathologist's perspectiveLee Ad Cooper, Elizabeth G Demicco, Joel H Saltz, et al.
Medical Image Analysis|April 9, 2024
Focused active learning for histopathological image classificationArne Schmidt, Pablo Morales-Álvarez, Lee Ad Cooper, et al.
Proceedings of Spie--The International Society for Optical Engineering|January 31, 2020
Joint Region and Nucleus Segmentation for Characterization of Tumor Infiltrating Lymphocytes in Breast CancerMohamed Amgad, Anindya Sarkar, Chukka Srinivas, 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 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Proceedings : ... IEEE International Conference on Big Data. IEEE International Conference on Big Data|January 1, 2015
An Interactive Learning Framework for Scalable Classification of Pathology ImagesMichael Nalisnik, David A Gutman, Jun Kong, et al.
Softwarex|October 6, 2025
HistomicsTK: A Python toolkit for pathology image analysis algorithmsFattaneh Pourakpour, Ákos Szölgyén, Ramin Nateghi, et al.
The Journal of Pathology|December 31, 2017
PanCancer insights from The Cancer Genome Atlas: the pathologist's perspectiveLee Ad Cooper, Elizabeth G Demicco, Joel H Saltz, et al.
Medical Image Analysis|April 9, 2024
Focused active learning for histopathological image classificationArne Schmidt, Pablo Morales-Álvarez, Lee Ad Cooper, et al.
Proceedings of Spie--The International Society for Optical Engineering|January 31, 2020
Joint Region and Nucleus Segmentation for Characterization of Tumor Infiltrating Lymphocytes in Breast CancerMohamed Amgad, Anindya Sarkar, Chukka Srinivas, 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 1