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Active Learning for Segmentation Based on Bayesian Sample Queries

Active Learning for Segmentation Based on Bayesian Sample Queries

22 December 2019
Firat Özdemir
Z. Peng
Philipp Fürnstahl
C. Tanner
O. Goksel
ArXivPDFHTML

Papers citing "Active Learning for Segmentation Based on Bayesian Sample Queries"

10 / 10 papers shown
Title
A comprehensive survey on deep active learning in medical image analysis
A comprehensive survey on deep active learning in medical image analysis
Haoran Wang
Q. Jin
Shiman Li
Siyu Liu
Manning Wang
Zhijian Song
VLM
44
22
0
22 Oct 2023
Data efficient deep learning for medical image analysis: A survey
Data efficient deep learning for medical image analysis: A survey
Suruchi Kumari
Pravendra Singh
37
12
0
10 Oct 2023
Discwise Active Learning for LiDAR Semantic Segmentation
Discwise Active Learning for LiDAR Semantic Segmentation
Ozan Unal
Dengxin Dai
Ali Tamer Unal
Luc Van Gool
9
6
0
23 Sep 2023
Hybrid Representation-Enhanced Sampling for Bayesian Active Learning in
  Musculoskeletal Segmentation of Lower Extremities
Hybrid Representation-Enhanced Sampling for Bayesian Active Learning in Musculoskeletal Segmentation of Lower Extremities
Ganping Li
Yoshito Otake
Mazen Soufi
M. Taniguchi
Masahide Yagi
N. Ichihashi
Keisuke Uemura
Masaki Takao
Nobuhiko Sugano
Yoshinobu Sato
26
3
0
26 Jul 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images
MedLSAM: Localize and Segment Anything Model for 3D CT Images
Wenhui Lei
Xu Wei
Xiaofan Zhang
Kang Li
Shaoting Zhang
MedIm
26
3
0
26 Jun 2023
Active learning for medical image segmentation with stochastic batches
Active learning for medical image segmentation with stochastic batches
Mélanie Gaillochet
Christian Desrosiers
H. Lombaert
UQCV
25
20
0
18 Jan 2023
Ensemble uncertainty as a criterion for dataset expansion in distinct
  bone segmentation from upper-body CT images
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
A Survey on Active Deep Learning: From Model-driven to Data-driven
Peng Liu
Lizhe Wang
Guojin He
Lei Zhao
13
13
0
25 Jan 2021
Semi-supervised Active Learning for Instance Segmentation via Scoring
  Predictions
Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions
Jun Wang
Shaoguo Wen
Kaixing Chen
Jianghua Yu
Xiaoxia Zhou
Peng Gao
Changsheng Li
Guotong Xie
ISeg
11
18
0
09 Dec 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
282
9,136
0
06 Jun 2015
1