Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation

10 June 2020

Dong Yang

H. Roth

Ziyue Xu

Fausto Milletari

Ling Zhang

Daguang Xu

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Papers citing "Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation"

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Title
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging Yimu Pan Sitao Zhang Alison D. Gernand Jeffery A. Goldstein J. Z. Wang 72 1 0 17 Dec 2024
Segmenting Medical Images with Limited Data Zhaoshan Liua Qiujie Lv Chau Hung Lee L. Shen 41 11 0 12 Jul 2024
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification Tingting Zheng Kui Jiang Hongxun Yao 29 2 0 09 Mar 2024
MedAugment: Universal Automatic Data Augmentation Plug-in for Medical Image Analysis Zhaoshan Liu Qiujie Lv Yifan Li Ziduo Yang Leizhao Shen MedIm 32 13 0 30 Jun 2023
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation Zeju Li Konstantinos Kamnitsas Qi Dou C. Qin Ben Glocker 11 6 0 30 May 2023
Dynamic Data Augmentation via MCTS for Prostate MRI Segmentation Xin-Chao Xu Yu-Tseng Hsi Hong Wang X. Li 14 0 0 25 May 2023
AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation Junyan Lyu Yiqi Zhang Yijin Huang Li Lin Pujin Cheng Xiaoying Tang MedIm 14 46 0 27 Jul 2022
Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions Mingzhe Hu Jiahan Zhang L. Matkovic Tian Liu Xiaofeng Yang OffRL 23 53 0 28 Jun 2022
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution Zhijian Liu Haotian Tang Shengyu Zhao Kevin Shao Song Han 3DPC 13 39 0 25 Apr 2022
Leveraging Image Complexity in Macro-Level Neural Network Design for Medical Image Segmentation T. M. Khan Syed S. Naqvi Erik H. W. Meijering SSeg 18 24 0 21 Dec 2021
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging Dong Yang Andriy Myronenko Xiaosong Wang Ziyue Xu H. Roth Daguang Xu ViT MedIm 3DV 23 22 0 15 Nov 2021
The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization in Medical Image Segmentation V. Nath Dong Yang Ali Hatamizadeh Anas Abidin Andriy Myronenko H. Roth Daguang Xu 25 5 0 12 Jul 2021
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training Yunhe Gao Zhiqiang Tang Mu Zhou Dimitris N. Metaxas MedIm 17 18 0 30 Mar 2021
Deep reinforcement learning in medical imaging: A literature review S. Kevin Zhou Hoang Ngan Le Khoa Luu Hien V Nguyen N. Ayache LM&MA OffRL MedIm 16 146 0 05 Mar 2021
Learning image quality assessment by reinforcing task amenable data selection Shaheer U. Saeed Yunguan Fu Zachary Michael Cieman Baum Qianye Yang M. Rusu Richard E. Fan G. Sonn D. Barratt Yipeng Hu 8 15 0 15 Feb 2021
Genetic U-Net: Automatically Designed Deep Networks for Retinal Vessel Segmentation Using a Genetic Algorithm Jiahong Wei Zhun Fan 21 73 0 29 Oct 2020
Automatic Data Augmentation for 3D Medical Image Segmentation Ju Xu Mengzhang Li Zhanxing Zhu MedIm 13 72 0 07 Oct 2020
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution Haotian Tang Zhijian Liu Shengyu Zhao Yujun Lin Ji Lin Hanrui Wang Song Han 3DPC 26 630 0 31 Jul 2020
Evolutionary Neural Architecture Search for Retinal Vessel Segmentation Zhun Fan Jiahong Wei Guijie Zhu Jiajie Mo Wenji Li 19 8 0 18 Jan 2020
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation Qihang Yu Dong Yang H. Roth Yutong Bai Yixiao Zhang Alan Yuille Daguang Xu 29 106 0 20 Dec 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao X. Chu 17 1,416 0 02 Aug 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016