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ARHNet: Adaptive Region Harmonization for Lesion-aware Augmentation to
  Improve Segmentation Performance

ARHNet: Adaptive Region Harmonization for Lesion-aware Augmentation to Improve Segmentation Performance

2 July 2023
Jiayu Huo
Yang Liu
Xiaoyun Ouyang
Alejandro Granados
Sebastien Ourselin
Rachel Sparks
ArXivPDFHTML

Papers citing "ARHNet: Adaptive Region Harmonization for Lesion-aware Augmentation to Improve Segmentation Performance"

3 / 3 papers shown
Title
Neuro-TransUNet: Segmentation of stroke lesion in MRI using transformers
Neuro-TransUNet: Segmentation of stroke lesion in MRI using transformers
Muhammad Nouman
M. Mabrok
Essam A. Rashed
19
2
0
10 Jun 2024
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Yin Cui
A. Srinivas
Rui Qian
Tsung-Yi Lin
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
217
835
0
13 Dec 2020
TorchIO: A Python library for efficient loading, preprocessing,
  augmentation and patch-based sampling of medical images in deep learning
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Fernando Pérez-García
Rachel Sparks
Sébastien Ourselin
MedIm
LM&MA
123
357
0
09 Mar 2020
1