Advancing Ki67 hotspot detection in breast cancer: a comparative analysis of automated digital image analysis algorithms.

Mieke C Zwager Shibo Yu Henk J Buikema Geertruida H de BockThomas W RamsingJeppe Thagaard Timco Koopman Bert Van der Vegt

Published in: Histopathology (2024)

Automated Ki67 hotspot detection and analysis correlated strongly with manual Ki67 assessment and provided higher PIs compared to manual assessment. The DL-based algorithm outperformed the VDS-based algorithm in clinical applicability, because it did not depend on virtual alignment of slides and correlated stronger with manual scores. Use of a DL-based algorithm may allow clearer Ki67 PI cutoff values, thereby improving the clinical usability of Ki67.

Keyphrases

machine learning
deep learning
neoadjuvant chemotherapy
high throughput
neural network
lymph node
radiation therapy
health information
data analysis