HipoMap
HipoMap propose a novel graphical representation
map of whole-slide histopathological images for slide-based analysis.
HipoMap generates a fixed size of image-type map that represents comprehensive
patterns of interests in a WSI. Thus, HipoMap provides a flexible solution to
apply any advanced machine learning methods, suchas CNN, for slide-based analysis.
The main contributions of ourproposed model, HipoMap are it can create a graphical
representation map as feature extraction of WSI,which can be
easily applied for various slide-based WSI problems(e.g., survival analysis).
ROI is not needed for traning pretrain model. HipoMap outperformed the current state-of-the-art
methods in slide-based pathological image analysis
Citation
@article{article,
author = {Sai, Kosaraju and Lee, Jeongyeon and Lee, Hyun and Yang, Jung Wook and Kang, Mingon},
year = {2022},
month = {12},
title = {Deep learning-based framework for slide-based histopathological image analysis.},
volume = {1},
journal = {Scientific reports},
doi = {https://doi.org/10.1038/s41598-022-23166-0}
}