Whole Slide Image Processing for Breast Cancer Diagnosis From Digitized Histopathology: A Survey on CBHIR

Authors

  • Dr. Dhanraj R. Dhotre Shri Sant Gajanan Maharaj College of Engineering, Shegoan , India
  • Renuka Pramod Arbat Shri Sant Gajanan Maharaj College of Engineering, Shegoan , India

Keywords:

Histopathological image, CBHIR, WSI, breast cancer, binary code.

Abstract

The diagnosis of breast cancer using histopathological images is a exigent task. The accurate diagnosis with histopathological images is a difficult work due to the variety of breast lesions and the slight difference between sub-categories of lesions in histopathological images. It is also challenging to retrieve contently similar regions from histopathological whole slide images (WSIs) for regions of interest (ROIs) in different size. This work is to detect the application CBHIR framework for database that consists of WSIs and size-scalable query ROIs.

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Published

2021-11-30

How to Cite

R. Dhotre, D. D., & Arbat, R. P. (2021). Whole Slide Image Processing for Breast Cancer Diagnosis From Digitized Histopathology: A Survey on CBHIR. International Journal of Technical Innovation in Modern Engineering & Science, 5(4), 340–345. Retrieved from https://ijtimes.com/IJTIMES/index.php/ijtimes/article/view/2752