Zobrazeno 1 - 6 of 6 pro vyhledávání: '"Katherine Elfer"'
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Pilot study to evaluate tools to collect pathologist annotations for validating machine learning algorithms
Autor: Katherine Elfer, Sarah Dudgeon, Victor Garcia, Kim Blenman, Evangelos Hytopoulos, Si Wen, Xiaoxian Li, Amy Ly, Bruce Werness, Manasi S. Sheth, Mohamed Amgad, Rajarsi Gupta, Joel Saltz, Matthew G. Hanna, Anna Ehinger, Dieter Peeters, Roberto Salgado, Brandon D. Gallas
Publikováno v: Journal of Medical Imaging
Purpose: Validation of artificial intelligence (AI) algorithms in digital pathology with a reference standard is necessary before widespread clinical use, but few examples focus on creating a reference standard based on pathologist annotations. This
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64a5d79097b3532eff5ff5a6b8aed605
https://pubmed.ncbi.nlm.nih.gov/35911208
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3
Development of Training Materials for Pathologists to Provide Machine Learning Validation Data of Tumor-Infiltrating Lymphocytes in Breast Cancer
Autor: Victor Garcia, Katherine Elfer, Dieter J. E. Peeters, Anna Ehinger, Bruce Werness, Amy Ly, Xiaoxian Li, Matthew G. Hanna, Kim R. M. Blenman, Roberto Salgado, Brandon D. Gallas
Publikováno v: Cancers; Volume 14; Issue 10; Pages: 2467
Cancers
Simple Summary The High Throughput Truthing project aims to develop a dataset of stromal tumor-infiltrating lymphocytes (sTILs) density evaluations in hematoxylin and eosin-stained invasive breast cancer specimens fit for a regulatory purpose. After
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e33bafc766ead613d188c186754e6a7c
https://doi.org/10.3390/cancers14102467
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