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InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation
30 June 2022
Yi-Mou Lin
Zeyu Wang
Kwang-Ting Cheng
Hao Chen
MedIm
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Papers citing
"InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation"
7 / 7 papers shown
Title
Co-synthesis of Histopathology Nuclei Image-Label Pairs using a Context-Conditioned Joint Diffusion Model
Seonghui Min
Hyunwoo Oh
Won-Ki Jeong
DiffM
MedIm
42
4
0
19 Jul 2024
URCDM: Ultra-Resolution Image Synthesis in Histopathology
Sarah Cechnicka
James G. C. Ball
Matthew Baugh
Hadrien Reynaud
Naomi Simmonds
A. Smith
Catherine Horsfield
C. Roufosse
Bernhard Kainz
MedIm
31
1
0
18 Jul 2024
Deep Learning for Computational Cytology: A Survey
Hao Jiang
Yanning Zhou
Yi-Mou Lin
R. Chan
Jiangshu Liu
Hao Chen
19
75
0
10 Feb 2022
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Huayu Chen
A. Srinivas
Rui Qian
Nayeon Lee
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
252
969
0
13 Dec 2020
Instance-aware Self-supervised Learning for Nuclei Segmentation
Xinpeng Xie
Jiawei Chen
Yuexiang Li
Linlin Shen
Kai Ma
Yefeng Zheng
SSL
108
59
0
22 Jul 2020
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
310
10,621
0
19 Feb 2017
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,455
0
21 Nov 2016
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