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COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical
  Image Segmentation

COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation

22 July 2023
Han Liu
Hao Li
Xing Yao
Yubo Fan
Dewei Hu
Benoit M. Dawant
V. Nath
Zhoubing Xu
I. Oguz
    VLM
ArXivPDFHTML

Papers citing "COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation"

4 / 4 papers shown
Title
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
31
24
0
13 Sep 2022
Active Learning on a Budget: Opposite Strategies Suit High and Low
  Budgets
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets
Guy Hacohen
Avihu Dekel
D. Weinshall
110
81
0
06 Feb 2022
Cold-start Active Learning through Self-supervised Language Modeling
Cold-start Active Learning through Self-supervised Language Modeling
Michelle Yuan
Hsuan-Tien Lin
Jordan L. Boyd-Graber
104
180
0
19 Oct 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
247
9,042
0
06 Jun 2015
1