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Active learning for medical image segmentation with stochastic batches

Active learning for medical image segmentation with stochastic batches

18 January 2023
Mélanie Gaillochet
Christian Desrosiers
H. Lombaert
    UQCV
ArXivPDFHTML

Papers citing "Active learning for medical image segmentation with stochastic batches"

9 / 9 papers shown
Title
QuickDraw: Fast Visualization, Analysis and Active Learning for Medical Image Segmentation
Daniel Syomichev
Padmini Gopinath
Guang-Lin Wei
Eric Chang
Ian Gordon
Amanuel Seifu
Rahul Pemmaraju
Neehar Peri
James M. Purtilo
31
0
0
12 Mar 2025
Integrating Deep Metric Learning with Coreset for Active Learning in 3D
  Segmentation
Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation
Arvind Murari Vepa
Zukang Yang
Andrew Choi
Jungseock Joo
Fabien Scalzo
Yizhou Sun
3DPC
63
1
0
24 Nov 2024
Modular Deep Active Learning Framework for Image Annotation: A Technical
  Report for the Ophthalmo-AI Project
Modular Deep Active Learning Framework for Image Annotation: A Technical Report for the Ophthalmo-AI Project
Md Abdul Kadir
Hasan Md Tusfiqur Alam
Pascale Maul
H. Profitlich
Moritz Wolf
Daniel Sonntag
VLM
MedIm
18
0
0
22 Mar 2024
Foundation Model Makes Clustering A Better Initialization For Cold-Start
  Active Learning
Foundation Model Makes Clustering A Better Initialization For Cold-Start Active Learning
Han Yuan
Chuan Hong
AI4CE
12
0
0
04 Feb 2024
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
39
22
0
22 Oct 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
16
3
0
26 Jul 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
34
24
0
13 Sep 2022
Consistency-based Semi-supervised Active Learning: Towards Minimizing
  Labeling Cost
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost
M. Gao
Zizhao Zhang
Guo-Ding Yu
Sercan Ö. Arik
L. Davis
Tomas Pfister
151
194
0
16 Oct 2019
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
247
9,042
0
06 Jun 2015
1