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loss odyssey in medical image segmentation

Segmentation Loss Odyssey - arXiv Vanity
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Abstract. Loss functions are one of the crucial ingredients in deep learning-based medical image segmentation methods. Many loss functions have been ...
Loss odyssey in medical image segmentation
https://explore.openaire.eu/search/publication?pid=10.1016/j.media.2021...
20.03.2021 · New segmentation results (based on nnUNetV2) of different loss functions in "Loss Odyssey in Medical Image Segmentation".
Loss Odyssey in Medical Image Segmentation | ScienceGate
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Loss Odyssey in Medical Image Segmentation · Jun Ma · Jianan Chen · Matthew Ng · Rui Huang · Yu Li ...
Loss Odyssey in Medical Image Segmentation | Zenodo
https://zenodo.org/record/4624843
20.03.2021 · Segmentation results of different loss functions in "Loss Odyssey in Medical Image Segmentation".
[2005.13449] Segmentation Loss Odyssey - arXiv
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Abstract: Loss functions are one of the crucial ingredients in deep learning-based medical image segmentation methods. Many loss functions ...
Loss odyssey in medical image segmentation - PubMed
https://pubmed.ncbi.nlm.nih.gov › ...
The loss function is an important component in deep learning-based segmentation methods. Over the past five years, many loss functions have been proposed ...
Loss odyssey in medical image segmentation - Semantic ...
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This paper presents a comprehensive review of segmentation loss functions in an organized manner and conducts the first large-scale analysis ...
Loss odyssey in medical image segmentation - ScienceDirect
https://www.sciencedirect.com/science/article/pii/S1361841521000815
01.07.2021 · Dice loss has been widely used in many top solutions of medical image segmentation challenges ( Bernard, Lalande, Zotti, Cervenansky, Yang, Heng, Cetin, Lekadir, Camara, Ballester, et al., 2018, Bakas, Reyes, et Int, Menze ). In addition to cross entropy and Dice loss, more than 10 loss functions have been proposed for segmentation CNNs.
Loss odyssey in medical image segmentation - ScienceDirect
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In particular, IoU loss (also known as soft Jaccard) simply replaces the segmentation in Jaccard index with softmax probabilities, while Lovász loss (Berman et ...
Loss Odyssey in Medical Image Segmentation | Request PDF
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In the training stage of the segmentation network, DSC loss [41] serves as the mainstream loss function that is widely used in medical image segmentation.
Loss Odyssey in Medical Image Segmentation | Zenodo
https://zenodo.org/record/4738480
05.05.2021 · New segmentation results (based on nnUNetV2) of different loss functions in "Loss Odyssey in Medical Image Segmentation".
Loss odyssey in medical image segmentation - PubMed
https://pubmed.ncbi.nlm.nih.gov/33813286
Loss odyssey in medical image segmentation Med Image Anal. 2021 Jul;71:102035. doi: 10.1016/j.media.2021.102035. Epub 2021 Mar 19. Authors Jun Ma 1 ...
Loss odyssey in medical image segmentation - Researchr
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Loss odyssey in medical image segmentation. Jun Ma, Jianan Chen 0001, Matthew Ng, Rui Huang, Yu Li, Chen Li, Xiaoping Yang, Anne L. Martel. Loss odyssey in ...
Loss odyssey in medical image segmentation - ScienceDirect
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Medical Image Analysis. Volume 71, July 2021, 102035. Loss odyssey in medical image segmentation. Author links open overlay panel Jun Ma a Jianan Chen b Matthew Ng b Rui Huang b Yu Li a Chen Li d Xiaoping Yang d Anne L. Martel b c. ... We present the first comprehensive review and comparison of the existing plug-and-play segmentation loss ...