A Survey on Active Learning and Human-in-the-Loop Deep Learning for
Medical Image Analysis

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A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis

7 October 2019

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Papers citing "A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis"

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Title
Gone Fishing: Neural Active Learning with Fisher Embeddings Jordan T. Ash Surbhi Goel A. Krishnamurthy Sham Kakade 86 88 0 17 Jun 2021
Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition Matthias Perkonigg J. Hofmanninger Georg Langs MedIm OOD 81 16 0 07 Jun 2021
Deep Learning Body Region Classification of MRI and CT examinations P. Raffy J. Pambrun Ashish Kumar David Dubois Jay W. Patti R. Cairns Ryan Young 36 8 0 28 Apr 2021
Active learning for object detection in high-resolution satellite images Alex Goupilleau Tugdual Ceillier M. Corbineau ObjD 44 9 0 07 Jan 2021
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation V. Nath Dong Yang Bennett A. Landman Daguang Xu H. Roth 143 72 0 07 Jan 2021
Intuitiveness in Active Teaching Jan Philip Göpfert Ulrike Kuhl L. Hindemith H. Wersing Barbara Hammer HAI 139 3 0 25 Dec 2020
Challenges in Deploying Machine Learning: a Survey of Case Studies Andrei Paleyes Raoul-Gabriel Urma Neil D. Lawrence 82 415 0 18 Nov 2020
A Survey of Deep Active Learning Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Brij B. Gupta Xiaojiang Chen Xin Wang 182 1,179 0 30 Aug 2020