19 min listen
Machine Learning facilitates assessment of shaved lumpectomy margins
FromModPath Chat
ratings:
Length:
19 minutes
Released:
Feb 9, 2022
Format:
Podcast episode
Description
Drs. Timothy D’Alfonso, David Ho, and Lee K.Tan from Memorial Sloan Kettering in NY discuss their recent Modern Pathology study describing a new machine learning algorithm that can help pathologists assess shaved margins from lumpectomy specimens. A uniquely developed Deep Multi-Magnification Network (DMMN) was utilized in Whole Slide Images (WSI) in the hope to triage negative margins and allow pathologists to focus on shaves that are positive for DCIS and/or Invasive carcinoma. Our GDPR privacy policy was updated on August 8, 2022. Visit acast.com/privacy for more information.
Released:
Feb 9, 2022
Format:
Podcast episode
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