Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review

• Main Authors: Ricardo Gonzalez (Author), Peyman Nejat (Author), Ashirbani Saha (Author), Clinton J.V. Campbell (Author), Andrew P. Norgan (Author), Cynthia Lokker (Author)
• Format: Knjiga
• Izdano: Elsevier, 2024-12-01T00:00:00Z.
• Teme: article
• Online dostop: Connect to this object online.

Numerous machine learning (ML) models have been developed for breast cancer using various types of data. Successful external validation (EV) of ML models is important evidence of their generalizability. The aim of this systematic review was to assess the performance of externally validated ML models...