ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2108.10550
  4. Cited By
A generative adversarial approach to facilitate archival-quality
  histopathologic diagnoses from frozen tissue sections

A generative adversarial approach to facilitate archival-quality histopathologic diagnoses from frozen tissue sections

24 August 2021
Kianoush Falahkheirkhah
Tao Guo
Michael J. Hwang
P. Tamboli
C. Wood
J. Karam
K. Sircar
Rohit Bhargava
    MedIm
ArXivPDFHTML

Papers citing "A generative adversarial approach to facilitate archival-quality histopathologic diagnoses from frozen tissue sections"

3 / 3 papers shown
Title
CREATE-FFPE: Cross-Resolution Compensated and Multi-Frequency Enhanced FS-to-FFPE Stain Transfer for Intraoperative IHC Images
Yiyang Lin
Danling Jiang
Xinyu Liu
Yun Miao
Yixuan Yuan
44
0
0
02 Mar 2025
Unpaired Multi-Domain Histopathology Virtual Staining using Dual Path
  Prompted Inversion
Unpaired Multi-Domain Histopathology Virtual Staining using Dual Path Prompted Inversion
Bing Xiong
Yue Peng
Ranran Zhang
Fuqiang Chen
JiaYe He
Wenjian Qin
DiffM
75
2
0
15 Dec 2024
Leveraging Pre-trained Models for FF-to-FFPE Histopathological Image
  Translation
Leveraging Pre-trained Models for FF-to-FFPE Histopathological Image Translation
Qilai Zhang
Jiawen Li
Peiran Liao
Jiali Hu
Tian Guan
Anjia Han
Yonghong He
MedIm
27
0
0
26 Jun 2024
1