Impact of Stain Normalisation Technique on Deep Learning based Nuclei Segmentation in Histopathological Image
Author:
Affiliation:
1. Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT),Gandhinagr,INDIA
2. NIT Tiruchirappalli,Department of ECE,Trichy,INDIA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10073586/10073999/10074363.pdf?arnumber=10074363
Reference31 articles.
1. Variability and reproducibility in deep learning for medical image segmentation
2. Considerations for a More Ethical Approach to Data in AI: On Data Representation and Infrastructure
3. A study about color normalization methods for histopathology images
4. Pix2Pix-based Stain-to-Stain Translation: A Solution for Robust Stain Normalization in Histopathology Images Analysis
5. Towards pixel-to-pixel deep nucleus detection in microscopy images;xing;BMC Bioinformatics,2019
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1. Segmentation of Nuclei in H&E-Stained Histological Images using Deep Learning Framework: A Perspective on Ensemble Approach and Nuclei Count;2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC);2023-10-16
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