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CellMix: A General Instance Relationship based Method for Data
  Augmentation Towards Pathology Image Classification

CellMix: A General Instance Relationship based Method for Data Augmentation Towards Pathology Image Classification

27 January 2023
Tianyi Zhang
Zhiling Yan
Chun Xing Li
Nan Ying
Y. Lei
Yun Feng
Yu Zhao
Guanglei Zhang
ArXivPDFHTML

Papers citing "CellMix: A General Instance Relationship based Method for Data Augmentation Towards Pathology Image Classification"

4 / 4 papers shown
Title
Selective Synthetic Augmentation with HistoGAN for Improved
  Histopathology Image Classification
Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification
Yuan Xue
Jiarong Ye
Qianying Zhou
L. R. Long
Sameer Kiran Antani
Z. Xue
Carl Cornwell
R. Zaino
K. Cheng
Xiaolei Huang
MedIm
171
98
0
10 Nov 2021
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
Jang-Hyun Kim
Wonho Choo
Hosan Jeong
Hyun Oh Song
195
173
0
05 Feb 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,214
0
17 Apr 2017
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
201
14,190
0
07 Oct 2016
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