Self-supervised driven consistency training for annotation efficient histopathology image analysis

7 February 2021

Papers citing "Self-supervised driven consistency training for annotation efficient histopathology image analysis"

20 / 20 papers shown

Title
Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI Alexander Oberstrass Sascha E. A. Muenzing Meiqi Niu N. Palomero-Gallagher Christian Schiffer M. Axer Katrin Amunts Timo Dickscheid 45 4 0 30 Jan 2024
Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-efficient Cardiac Segmentation Kang Li Shujun Wang Lequan Yu Pheng-Ann Heng 33 51 0 13 Jul 2020
Contrastive learning of global and local features for medical image segmentation with limited annotations K. Chaitanya Ertunc Erdil Neerav Karani E. Konukoglu SSL 54 551 0 18 Jun 2020
Rethinking Pre-training and Self-training Barret Zoph Golnaz Ghiasi Nayeon Lee Huayu Chen Hanxiao Liu E. D. Cubuk Quoc V. Le SSeg 65 647 0 11 Jun 2020
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model Quande Liu Lequan Yu Luyang Luo Qi Dou Pheng Ann Heng 71 224 0 15 May 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 326 662 0 23 Mar 2020
Deep neural network models for computational histopathology: A survey C. Srinidhi Ozan Ciga Anne L. Martel AI4CE 71 573 0 28 Dec 2019
Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube Xinrui Zhuang Yuexiang Li Yifan Hu Kai Ma Yujiu Yang Yefeng Zheng SSL 55 149 0 05 Oct 2019
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning Eric Arazo Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness 82 826 0 08 Aug 2019
Automated Gleason Grading of Prostate Biopsies using Deep Learning W. Bulten H. Pinckaers H. V. van Boven R. Vink Thomas de Bel Bram van Ginneken J. A. van der Laak C. Hulsbergen–van de Kaa G. Litjens 82 449 0 18 Jul 2019
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction Wenjia Bai Chen Chen G. Tarroni Jinming Duan Florian Guitton S. Petersen Yike Guo Paul M. Matthews Daniel Rueckert SSL 44 179 0 05 Jul 2019
Semi-Supervised Learning with Scarce Annotations Sylvestre-Alvise Rebuffi Sébastien Ehrhardt Kai Han Andrea Vedaldi Andrew Zisserman SSL 47 49 0 21 May 2019
Unsupervised Data Augmentation for Consistency Training Qizhe Xie Zihang Dai Eduard H. Hovy Minh-Thang Luong Quoc V. Le 101 2,306 0 29 Apr 2019
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology David Tellez G. Litjens Péter Bándi W. Bulten J. Bokhorst F. Ciompi Jeroen van der Laak MedIm OOD 37 478 0 18 Feb 2019
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey Longlong Jing Yingli Tian SSL 95 1,692 0 16 Feb 2019
Transfusion: Understanding Transfer Learning for Medical Imaging M. Raghu Chiyuan Zhang Jon M. Kleinberg Samy Bengio MedIm 55 980 0 14 Feb 2019
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 159 2,543 0 07 Oct 2016
Deep Learning for Identifying Metastatic Breast Cancer Dayong Wang A. Khosla Rishab Gargeya H. Irshad Andrew H. Beck MedIm 49 940 0 18 Jun 2016
Adversarially Learned Inference Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville GAN 59 1,312 0 02 Jun 2016
Deep Networks with Stochastic Depth Gao Huang Yu Sun Zhuang Liu Daniel Sedra Kilian Q. Weinberger 141 2,344 0 30 Mar 2016