AI-Driven Multimodal Computational Pathology

150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

Open Forum on Computational Pathology and Cancer Prediction


Faisal Mahmood


This talk will discuss the use of AI in pathology and methods of training digitized images through the utilization of smaller patches to make the data efficient. Models have been developed to identify the most important images patches. In addition, the development of a breast cancer lymph node metastasis model will be discussed, showing how different imaging approaches were used. Models predicting histology have been developed for cancer applications.


  • CT
  • Optical/microscopy
  • Histopathology
  • Genomics


  • Breast
  • Cardiac
  • Prostate


  • Cancer