A comprehensive survey on deep active learning in medical image analysis

A comprehensive survey on deep active learning in medical image analysis

22 October 2023

Papers citing "A comprehensive survey on deep active learning in medical image analysis"

13 / 13 papers shown

Title
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm Yichen Xie Han Lu Junchi Yan Xiaokang Yang M. Tomizuka Wei Zhan 28 29 0 25 Mar 2023
$Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning$ Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning V. Nath Dong Yang H. Roth Daguang Xu 26 21 0 13 Sep 2022
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets Guy Hacohen Avihu Dekel D. Weinshall 107 81 0 06 Feb 2022
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification Jiancheng Yang Rui Shi D. Wei Zequan Liu Lin Zhao B. Ke Hanspeter Pfister Bingbing Ni VLM 158 634 0 27 Oct 2021
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning Xudong Wang Long Lian Stella X. Yu 168 32 0 06 Oct 2021
S $^3$ VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation Harsh Rangwani Arihant Jain Sumukh K Aithal R. Venkatesh Babu TTA 23 23 0 18 Sep 2021
MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning Xiangde Luo Guotai Wang Tao Song Jingyang Zhang Michael Aertsen Jan Deprest Sebastien Ourselin Tom Kamiel Magda Vercauteren Shaoting Zhang 35 96 0 25 Apr 2021
Learning Guided Electron Microscopy with Active Acquisition Lu Mi Hao Wang Yaron Meirovitch R. Schalek Srinivas C. Turaga J. Lichtman Aravinthan D. T. Samuel Nir Shavit 30 5 0 07 Jan 2021
Cold-start Active Learning through Self-supervised Language Modeling Michelle Yuan Hsuan-Tien Lin Jordan L. Boyd-Graber 99 180 0 19 Oct 2020
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings Viraj Prabhu Arjun Chandrasekaran Kate Saenko Judy Hoffman OOD 90 119 0 16 Oct 2020
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost M. Gao Zizhao Zhang Guo-Ding Yu Sercan Ö. Arik L. Davis Tomas Pfister 143 194 0 16 Oct 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 243 9,042 0 06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 226 74,467 0 18 May 2015