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Comparative Benchmarking of Failure Detection Methods in Medical Image
  Segmentation: Unveiling the Role of Confidence Aggregation
v1v2 (latest)

Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation

5 June 2024
M. Zenk
David Zimmerer
Hyunjin Park
Jeremias Traub
T. Norajitra
Paul F. Jäger
Klaus H. Maier-Hein
ArXiv (abs)PDFHTMLGithub (2★)

Papers citing "Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation"

2 / 2 papers shown
A Large Scale Benchmark for Test Time Adaptation Methods in Medical Image Segmentation
A Large Scale Benchmark for Test Time Adaptation Methods in Medical Image Segmentation
Wenjing Yu
Shuo Jiang
Yifei Chen
Shuo Chang
Y Samuel Wang
...
Mingxuan Liu
Shenghao Zhu
Feiwei Qin
Changmiao Wang
Qiyuan Tian
OODVLM
340
0
0
02 Dec 2025
Can General-Purpose Omnimodels Compete with Specialists? A Case Study in Medical Image Segmentation
Can General-Purpose Omnimodels Compete with Specialists? A Case Study in Medical Image Segmentation
Yizhe Zhang
Qiang Chen
Tao Zhou
208
0
0
31 Aug 2025
1
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