Deepfake Histologic Images for Enhancing Digital Pathology-Reference-Cited by-同舟云学术

Deepfake Histologic Images for Enhancing Digital Pathology

Published:2023-01 Issue:1 Volume:103 Page:100006
ISSN:0023-6837
Container-title:Laboratory Investigation
language:en
Short-container-title:Laboratory Investigation

Author:

Falahkheirkhah Kianoush^ORCID,Tiwari Saumya,Yeh Kevin,Gupta Sounak,Herrera-Hernandez Loren,McCarthy Michael R.,Jimenez Rafael E.,Cheville John C.,Bhargava Rohit^ORCID

Publisher

Elsevier BV

Subject

Cell Biology,Molecular Biology,Pathology and Forensic Medicine

Reference43 articles.

1. Deep learning for digital pathology image analysis: a comprehensive tutorial with selected use cases;Janowczyk;J Pathol Inform,2016

2. Translational AI and deep learning in diagnostic pathology;Serag;Front Med (Lausanne),2019

3. Deep learning in cancer pathology: a new generation of clinical biomarkers;Echle;Br J Cancer,2021

4. Optimized generation of high-resolution phantom images using cGAN: application to quantification of Ki67 breast cancer images;Senaras;PLoS One,2018

5. High resolution histopathology image generation and segmentation through adversarial training;Li;Med Image Anal,2022

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