A foundation model for clinical-grade computational pathology and rare cancers detection

E Vorontsov, A Bozkurt, A Casson, G Shaikovski… - Nature medicine, 2024 - nature.com
The analysis of histopathology images with artificial intelligence aims to enable clinical
decision support systems and precision medicine. The success of such applications …

Deep learning in breast cancer imaging: A decade of progress and future directions

L Luo, X Wang, Y Lin, X Ma, A Tan… - IEEE Reviews in …, 2024 - ieeexplore.ieee.org
Breast cancer has reached the highest incidence rate worldwide among all malignancies
since 2020. Breast imaging plays a significant role in early diagnosis and intervention to …

Virchow2: Scaling self-supervised mixed magnification models in pathology

E Zimmermann, E Vorontsov, J Viret, A Casson… - ar** pathologists in the loop and an adaptive F1-score threshold method for mitosis detection in canine perivascular wall tumours
T Rai, A Morisi, B Bacci, NJ Bacon, MJ Dark, T Aboellail… - Cancers, 2024 - mdpi.com
Simple Summary Performing a mitosis count (MC) is essential in grading canine Soft Tissue
Sarcoma (cSTS) and canine Perivascular Wall Tumours (cPWTs), although it is subject to …