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Between Generating Noise and Generating Images: Noise in the Correct
  Frequency Improves the Quality of Synthetic Histopathology Images for Digital
  Pathology

Between Generating Noise and Generating Images: Noise in the Correct Frequency Improves the Quality of Synthetic Histopathology Images for Digital Pathology

13 February 2023
Nati Daniel
Eliel Aknin
Ariel Larey
Yoni Peretz
G. Sela
Y. Fisher
Y. Savir
    MedIm
ArXivPDFHTML

Papers citing "Between Generating Noise and Generating Images: Noise in the Correct Frequency Improves the Quality of Synthetic Histopathology Images for Digital Pathology"

17 / 17 papers shown
Title
Harnessing Artificial Intelligence to Infer Novel Spatial Biomarkers for
  the Diagnosis of Eosinophilic Esophagitis
Harnessing Artificial Intelligence to Infer Novel Spatial Biomarkers for the Diagnosis of Eosinophilic Esophagitis
Ariel Larey
Eliel Aknin
Nati Daniel
Garrett A. Osswald
J. Caldwell
...
M. Collins
Nicoleta C. Arva
Guang-Yu Yang
M. Rothenberg
Y. Savir
33
19
0
26 May 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
94
30,021
0
01 Mar 2022
Machine learning approach for biopsy-based identification of
  eosinophilic esophagitis reveals importance of global features
Machine learning approach for biopsy-based identification of eosinophilic esophagitis reveals importance of global features
Tomer Czyzewski
Nati Daniel
M. Rochman
J. Caldwell
Garrett A. Osswald
M. Collins
M. Rothenberg
Y. Savir
32
22
0
13 Jan 2021
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply
  Synergistic Image and Feature Alignment for Medical Image Segmentation
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
Cheng Chen
Qi Dou
Hao Chen
J. Qin
Pheng Ann Heng
79
312
0
06 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
118
42,038
0
03 Dec 2019
PathologyGAN: Learning deep representations of cancer tissue
PathologyGAN: Learning deep representations of cancer tissue
A. Quiros
R. Murray-Smith
Ke-Fei Yuan
MedIm
GAN
18
85
0
04 Jul 2019
Skin Lesion Synthesis with Generative Adversarial Networks
Skin Lesion Synthesis with Generative Adversarial Networks
Alceu Bissoto
Fábio Perez
Eduardo Valle
Sandra Avila
GAN
MedIm
22
98
0
08 Feb 2019
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Zongwei Zhou
M. R. Siddiquee
Nima Tajbakhsh
Jianming Liang
SSeg
59
6,066
0
18 Jul 2018
Deep Semi Supervised Generative Learning for Automated PD-L1 Tumor Cell
  Scoring on NSCLC Tissue Needle Biopsies
Deep Semi Supervised Generative Learning for Automated PD-L1 Tumor Cell Scoring on NSCLC Tissue Needle Biopsies
A. Kapil
A. Meier
A. Zuraw
K. Steele
Marlon Rebelatto
Gunter Schmidt
N. Brieu
24
91
0
28 Jun 2018
A Deep Learning Algorithm for One-step Contour Aware Nuclei Segmentation
  of Histopathological Images
A Deep Learning Algorithm for One-step Contour Aware Nuclei Segmentation of Histopathological Images
Yuxin Cui
Guiying Zhang
Zhonghao Liu
Zheng Xiong
Jianjun Hu
23
116
0
07 Mar 2018
High-Resolution Image Synthesis and Semantic Manipulation with
  Conditional GANs
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Ting-Chun Wang
Ming-Yuan Liu
Jun-Yan Zhu
Andrew Tao
Jan Kautz
Bryan Catanzaro
SSeg
128
3,926
0
30 Nov 2017
Synthetic Medical Images from Dual Generative Adversarial Networks
Synthetic Medical Images from Dual Generative Adversarial Networks
John Guibas
T. S. Virdi
Peter S. Li
GAN
MedIm
132
167
0
06 Sep 2017
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
261
19,560
0
21 Nov 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.1K
192,638
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
390
27,231
0
02 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
519
149,474
0
22 Dec 2014
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GAN
SyDa
AI4CE
189
10,365
0
06 Nov 2014
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