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2102.08021
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Uncertainty-based method for improving poorly labeled segmentation datasets
IEEE International Symposium on Biomedical Imaging (ISBI), 2021
16 February 2021
Ekaterina Redekop
A. Chernyavskiy
UQCV
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Papers citing
"Uncertainty-based method for improving poorly labeled segmentation datasets"
4 / 4 papers shown
MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Shenwang Jiang
Jianan Li
Ying Wang
Wenxuan Wu
Jizhou Zhang
Bo Huang
Tingfa Xu
VLM
263
6
0
22 Jan 2024
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
372
54
0
09 Oct 2023
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
Benjamin Lambert
Florence Forbes
A. Tucholka
Senan Doyle
Harmonie Dehaene
M. Dojat
281
170
0
05 Oct 2022
A Survey on Deep Learning for Skin Lesion Segmentation
Z. Mirikharaji
Kumar Abhishek
Alceu Bissoto
Catarina Barata
Sandra Avila
Eduardo Valle
M. Celebi
Ghassan Hamarneh
580
158
0
01 Jun 2022
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