Less Is More: A Comparison of Active Learning Strategies for 3D Medical
Image Segmentation

Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation

2 July 2022

Josafat-Mattias Burmeister

Benjamin Bergner

Papers citing "Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation"

17 / 17 papers shown

Title
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 258 1 0 25 Nov 2024
The Medical Segmentation Decathlon Michela Antonelli Annika Reinke Spyridon Bakas Keyvan Farahani AnnetteKopp-Schneider ... Zhanwei Xu Yefeng Zheng Amber L. Simpson Lena Maier-Hein M. Jorge Cardoso OOD 106 983 0 10 Jun 2021
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 493 42,407 0 03 Dec 2019
Deep learning for cardiac image segmentation: A review Chen Chen C. Qin Huaqi Qiu G. Tarroni Jinming Duan Wenjia Bai Daniel Rueckert SSeg 3DV 103 683 0 09 Nov 2019
A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis Samuel Budd E. C. Robinson Bernhard Kainz LM&MA 52 479 0 07 Oct 2019
A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation Zhenxi Zhang Jie Li Zhusi Zhong Zhicheng Jiao Xinbo Gao 3DV 59 14 0 18 Jun 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning Wesley J. Maddox T. Garipov Pavel Izmailov Dmitry Vetrov A. Wilson BDL UQCV 84 808 0 07 Feb 2019
ALiPy: Active Learning in Python Ying-Peng Tang Guo-Xiang Li Sheng-Jun Huang GP AI4CE 67 54 0 12 Jan 2019
MedAL: Deep Active Learning Sampling Method for Medical Image Analysis A. Smailagic Hae Young Noh P. Costa Devesh Walawalkar Kartik Khandelwal Mostafa Mirshekari Jonathon Fagert Adrian Galdran Susu Xu 38 72 0 25 Sep 2018
modAL: A modular active learning framework for Python Tivadar Danka P. Horváth 49 105 0 02 May 2018
Cost-Effective Active Learning for Melanoma Segmentation Marc Górriz Axel Carlier Emmanuel Faure Xavier Giró-i-Nieto 49 119 0 24 Nov 2017
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation Ling Yang Yizhe Zhang Jianxu Chen Siyuan Zhang Danny Chen MedIm 71 504 0 15 Jun 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,827 0 14 Jun 2017
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 221 8,681 0 15 Jun 2016
Introducing Geometry in Active Learning for Image Segmentation Ksenia Konyushkova Raphael Sznitman Pascal Fua 53 75 0 20 Aug 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,133 0 18 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014

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