Sarah N. Dudgeon

发表

LabLink: Journaling via Multimedia in Anatomical Dissections

Glenn Fox, Kathleen Alsup, Sarah N. Dudgeon, 2015 .

Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group

Andrew H. Beck, Jacqueline A. Hall, Sarah N. Dudgeon, 2020, npj Breast Cancer.

Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer

Andrew H. Beck, Jacqueline A. Hall, Sarah N. Dudgeon, 2020, npj Breast Cancer.

Pilot study to evaluate tools to collect pathologist annotations for validating machine learning algorithms

Rajarsi R. Gupta, Sarah N. Dudgeon, E. Hytopoulos, 2022, Journal of medical imaging.

A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study

Australia, Steven N. Hart, Anant Madabhushi, 2020, Journal of pathology informatics.

Application of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials

Jacqueline A. Hall, Sarah N. Dudgeon, A. Gown, 2020, npj Breast Cancer.

A Regulatory Science Initiative to Harmonize and Standardize Digital Pathology and Machine Learning Processes to Speed up Clinical Innovation to Patients

Ashish Sharma, Amanda Lowe, Brandon D. Gallas, 2020, Journal of pathology informatics.

Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group.

Sarah N. Dudgeon, A. Beck, T. Nielsen, 2020, NPJ breast cancer.

Application of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials

Jacqueline A. Hall, Sarah N. Dudgeon, A. Gown, 2020, npj Breast Cancer.