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Sarah Hawley

Showing results (61-70 of 66) with videos related to

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Cancer Research|December 2, 2021
Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning-Assisted Gland AnalysisWeisi Xie, Nicholas P Reder, Can Koyuncu, et al.
The American Journal of Surgical Pathology|September 17, 2016
Histologic Grading of Prostatic Adenocarcinoma Can Be Further Optimized: Analysis of the Relative Prognostic Strength of Individual Architectural Patterns in 1275 Patients From the Canary Retrospective CohortJesse K McKenney, Wei Wei, Sarah Hawley, et al.
Histopathology|June 3, 2024
Proposal for an optimised definition of adverse pathology (unfavourable histology) that predicts metastatic risk in prostatic adenocarcinoma independent of grade group and pathological stageJane K Nguyen, Lara R Harik, Eric A Klein, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|February 11, 2022
Analysis of separate training and validation radical prostatectomy cohorts identifies 0.25 mm diameter as an optimal definition for "large" cribriform prostatic adenocarcinomaEmily Chan, Jesse K McKenney, Sarah Hawley, et al.
Advances in Anatomic Pathology|December 13, 2012
A model for the design and construction of a resource for the validation of prognostic prostate cancer biomarkers: the Canary Prostate Cancer Tissue MicroarraySarah Hawley, Ladan Fazli, Jesse K McKenney, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|June 21, 2023
Artificial Intelligence-Based PTEN Loss Assessment as an Early Predictor of Prostate Cancer Metastasis After Surgery: A Multicenter Retrospective StudyPalak Patel, Stephanie Harmon, Rachael Iseman, et al.
Pageof 7

Showing results (61-70 of 66) with videos related to

Sort By:
Pageof 7
You have reached the last page of results.This site can display upto 66 results.
Cancer Research|December 2, 2021
Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning-Assisted Gland AnalysisWeisi Xie, Nicholas P Reder, Can Koyuncu, et al.
The American Journal of Surgical Pathology|September 17, 2016
Histologic Grading of Prostatic Adenocarcinoma Can Be Further Optimized: Analysis of the Relative Prognostic Strength of Individual Architectural Patterns in 1275 Patients From the Canary Retrospective CohortJesse K McKenney, Wei Wei, Sarah Hawley, et al.
Histopathology|June 3, 2024
Proposal for an optimised definition of adverse pathology (unfavourable histology) that predicts metastatic risk in prostatic adenocarcinoma independent of grade group and pathological stageJane K Nguyen, Lara R Harik, Eric A Klein, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|February 11, 2022
Analysis of separate training and validation radical prostatectomy cohorts identifies 0.25 mm diameter as an optimal definition for "large" cribriform prostatic adenocarcinomaEmily Chan, Jesse K McKenney, Sarah Hawley, et al.
Advances in Anatomic Pathology|December 13, 2012
A model for the design and construction of a resource for the validation of prognostic prostate cancer biomarkers: the Canary Prostate Cancer Tissue MicroarraySarah Hawley, Ladan Fazli, Jesse K McKenney, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|June 21, 2023
Artificial Intelligence-Based PTEN Loss Assessment as an Early Predictor of Prostate Cancer Metastasis After Surgery: A Multicenter Retrospective StudyPalak Patel, Stephanie Harmon, Rachael Iseman, et al.
Pageof 7