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Breaking the Barrier: Selective Uncertainty-based Active Learning for
  Medical Image Segmentation

Breaking the Barrier: Selective Uncertainty-based Active Learning for Medical Image Segmentation

29 January 2024
Siteng Ma
Haochang Wu
Aonghus Lawlor
Ruihai Dong
    OODEDL
ArXiv (abs)PDFHTML

Papers citing "Breaking the Barrier: Selective Uncertainty-based Active Learning for Medical Image Segmentation"

5 / 5 papers shown
Title
Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging
Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging
Ji-Hun Oh
Kianoush Falahkheirkhah
Rohit Bhargava
109
0
0
01 Jul 2025
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
69
0
0
12 Mar 2025
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
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
290
1
0
25 Nov 2024
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
Pengyun Wang
Yadi Cao
Chris Russell
Yanxin Shen
Junyu Luo
Ming Zhang
Siyu Heng
Zhiyuan Ning
99
1
0
13 Sep 2024
Active Learning Enabled Low-cost Cell Image Segmentation Using Bounding
  Box Annotation
Active Learning Enabled Low-cost Cell Image Segmentation Using Bounding Box Annotation
Yu Zhu
Qiang Yang
Li Xu
VLM
63
2
0
02 May 2024
1