Improving calibration and out-of-distribution detection in deep models for medical image segmentation

D Karimi, A Gholipour - IEEE transactions on artificial …, 2022 - ieeexplore.ieee.org
Convolutional neural networks (CNNs) have proved to be powerful medical image
segmentation models. In this study, we address some of the main unresolved issues …
被引用次数：31 相关文章

Improving Calibration and Out-of-Distribution Detection in Deep Models for Medical Image Segmentation

D Karimi, A Gholipour - IEEE Transactions on Artificial Intelligence, 2023 - computer.org
Convolutional neural networks (CNNs) have proved to be powerful medical image
segmentation models. In this study, we address some of the main unresolved issues …
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[HTML][HTML] Improving Calibration and Out-of-Distribution Detection in Deep Models for Medical Image Segmentation

D Karimi, A Gholipour - IEEE transactions on artificial intelligence, 2023 - ncbi.nlm.nih.gov
Abstract Convolutional Neural Networks (CNNs) have proved to be powerful medical image
segmentation models. In this study, we address some of the main unresolved issues …

Improving Calibration and Out-of-Distribution Detection in Deep Models for Medical Image Segmentation.

D Karimi, A Gholipour - IEEE Transactions on Artificial Intelligence, 2022 - europepmc.org
Abstract Convolutional Neural Networks (CNNs) have proved to be powerful medical image
segmentation models. In this study, we address some of the main unresolved issues …

Improving Calibration and Out-of-Distribution Detection in Deep Models for Medical Image Segmentation

D Karimi, A Gholipour - IEEE transactions on artificial …, 2023 - pubmed.ncbi.nlm.nih.gov
Convolutional Neural Networks (CNNs) have proved to be powerful medical image
segmentation models. In this study, we address some of the main unresolved issues …

Improving Calibration and Out-of-Distribution Detection in Deep Models for Medical Image Segmentation.

D Karimi, A Gholipour - IEEE Transactions on Artificial Intelligence, 2022 - europepmc.org
Convolutional Neural Networks (CNNs) have proved to be powerful medical image
segmentation models. In this study, we address some of the main unresolved issues …