SA-GAN: Stain Acclimation Generative Adversarial Network for Histopathology Image Analysis

SA-GAN: Stain Acclimation Generative Adversarial Network for Histopathology Image Analysis

Histopathological image analysis is an examination of tissue under a light microscope for cancerous disease diagnosis. Computer-assisted diagnosis (CAD) systems work well by diagnosing cancer from histopathology images. However, stain variability in histopathology images is inevitable due to the use...

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Bibliographic Details
Main Authors: Tasleem Kausar, Adeeba Kausar, Muhammad Adnan Ashraf, Muhammad Farhan Siddique, Mingjiang Wang, Muhammad Sajid, Muhammad Zeeshan Siddique, Anwar Ul Haq, Imran Riaz
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
histopathology
hematoxylin and eosin staining
stain transfer
generative adversarial learning
Online Access:https://www.mdpi.com/2076-3417/12/1/288

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https://www.mdpi.com/2076-3417/12/1/288

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