Active Learning for Segmentation by Optimizing Content Information for
Maximal Entropy

Active Learning for Segmentation by Optimizing Content Information for Maximal Entropy

18 July 2018

Philipp Fürnstahl

Papers citing "Active Learning for Segmentation by Optimizing Content Information for Maximal Entropy"

18 / 18 papers shown

Title
A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE) Daniel Sonntag Michael Barz Thiago S. Gouvêa VLM 44 4 0 27 Jun 2024
Active Learning Framework for Cost-Effective TCR-Epitope Binding Affinity Prediction Pengfei Zhang Seojin Bang Heewook Lee 9 1 0 16 Oct 2023
Active learning for medical image segmentation with stochastic batches Mélanie Gaillochet Christian Desrosiers H. Lombaert UQCV 25 20 0 18 Jan 2023
Active learning using adaptable task-based prioritisation Shaheer U. Saeed João Ramalhinho Mark A. Pinnock Ziyi Shen Yunguan Fu ... D. Barratt Stephen P. Pereira Brian R. Davidson Matthew J. Clarkson Yipeng Hu 13 4 0 03 Dec 2022
Ensemble uncertainty as a criterion for dataset expansion in distinct bone segmentation from upper-body CT images Eva Schnider Antal Huck M. Toranelli G. Rauter A. Zam M. Müller-Gerbl Philippe C. Cattin 25 1 0 19 Aug 2022
Deep reinforced active learning for multi-class image classification E. Slade K. Branson VLM 11 6 0 20 Jun 2022
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation Yu Qiao Jincheng Zhu Chengjiang Long Zeyao Zhang Yuxin Wang Z. Du Xin Yang 35 13 0 11 Dec 2021
Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation Dwarikanath Mahapatra 13 53 0 13 Apr 2021
DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation Ziyuan Zhao Zeng Zeng Kaixin Xu Cen Chen Cuntai Guan 21 65 0 22 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 27 68 0 07 Jan 2021
MetaBox+: A new Region Based Active Learning Method for Semantic Segmentation using Priority Maps Pascal Colling L. Roese-Koerner Hanno Gottschalk Matthias Rottmann 22 26 0 05 Oct 2020
Mask-guided sample selection for Semi-Supervised Instance Segmentation Míriam Bellver Amaia Salvador Jordi Torres Xavier Giró-i-Nieto ISeg 6 5 0 25 Aug 2020
Active Learning for Segmentation Based on Bayesian Sample Queries Firat Özdemir Z. Peng Philipp Fürnstahl C. Tanner O. Goksel 22 22 0 22 Dec 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 6 468 0 07 Oct 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 11 750 0 27 Aug 2019
A Survey on Deep Learning of Small Sample in Biomedical Image Analysis Pengyi Zhang Yunxin Zhong Yulin Deng Xiaoying Tang Xiaoqiong Li 20 32 0 01 Aug 2019
Extending Pretrained Segmentation Networks with Additional Anatomical Structures Firat Özdemir Orçun Göksel CLL 17 45 0 12 Nov 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 261 9,136 0 06 Jun 2015