AI displays breast cancer neoadjuvant chemotherapy response features out of multi-stain histopathologic images
February 07, 2023 | Histopathology
The prediction of cancer patient outcomes and overall survival rate have been realized due to computational pathology algorithms and tools. Basing from features or grades obtained from tumor histopathologic images, it can help us recognize the potential hazard factors while improving treatment planning towards precision oncology.
Nevertheless, the capacity of AI may be limited to only several cancer subtypes. Thus the results of this study on HER2+ and TNBC subtypes can inspire future research outside power analysis and model selection.