The Rutgers Computer Science Department is pleased to announce Professor Hao Wang is the recipient of the National Institutes of Health (NIH) Research Project Grant (R01) for his proposal “Counterfactual Explanations for AI-Assisted Cancer Diagnosis and Subtyping.”
Accurate diagnosis of cancer hinges on histopathological assessment, with treatment pivoting upon the tumor's morphological classification. AI models, especially deep learning (DL) models, have shown great promise in accurately classifying tumors from histopathological images (often with additional genomic information). Unlike typical medical images featuring small critical areas, histopathological images are textural, with relevant texture spanning the entire image, making it challenging to explain DL prediction by locating areas of an image. Such lack of explainability (and interpretability) severely limits DL's potential as a valuable tool to pathologists. Thus, there is a critical need to systematically explain DL histopathological models, beyond mere localization, to substantially improve AI-assisted cancer diagnosis for pathologists. This project aims to develop a principled framework to systematically explain DL histopathological models using counterfactual explanations.
The total budget for this four-year project is $1.15M.
To learn more: https://reporter.nih.gov/search/0gm8UXSQ4Uq5X3AGK98ovA/project-details/11060758
