Optimized Whole-Slide-Image H&E Stain Normalization: A Step Towards Big Data Integration in Digital Pathology

Optimized Whole-Slide-Image H&E Stain Normalization: A Step Towards Big Data Integration in Digital Pathology

In the medical diagnostics domain, pathology and histology are pivotal for the precise identification of diseases. Digital histopathology, enhanced by automation, facilitates the efficient analysis of massive amount of biopsy images produced on a daily basis, streamlining the evaluation process. Thi...

Full description

Saved in:
Bibliographic Details
Main Authors: Jose L. Agraz, Carlos Agraz, Andrew A. Chen, Charles Rice, Robert S. Pozos, Sven Aelterman, Amanda Tan, Angela N. Viaene, MacLean P. Nasrallah, Parth Sharma, Caleb M. Grenko, Tahsin Kurc, Joel Saltz, Michael D. Feldman, Hamed Akbari, Russell T. Shinohara, Spyridon Bakas, Parker Wilson
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of Engineering in Medicine and Biology
Subjects:
Glioblastoma
normalization
optimizing
preprocessing
stain-vectors
whole-slide-image
Online Access:https://ieeexplore.ieee.org/document/10669194/
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items