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Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation

Authors: Fidon, Lucas; Aertsen, Michael; Emam, Doaa; Mufti, Nada; Guffens, Frederic; Deprest, Thomas; Demaerel, Philippe; +5 Authors

Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation

Abstract

Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation This repository contains data contributed and used in our MICCAI 2021 paper: Fidon, L. et al. Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation. Our code is publicly available at https://github.com/LucasFidon/fetal-brain-segmentation-partial-supervision-miccai21 The FeTA 3D MRIs and segmentations contained in this repository shall be used only for research and education purposes. How to cite: If you use the deep neural network weights please cite: Fidon, L., Aertsen, M., Emam, D., et al. Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation. MICCAI (2021). if you use the FeTA data (release 1) and the corrected segmentations that we contributed please cite: Payette, K., de Dumast, P., Kebiri, H. et al. An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset. Sci Data 8, 167 (2021). https://doi.org/10.1038/s41597-021-00946-3 Fidon, L., Aertsen, M., Emam, D., et al. Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation. MICCAI (2021). Terms of use - FeTA 3D MRIs and segmentations: This is an agreement (“Agreement”) between you the downloader (“Downloader”) and the owner of the materials (“User”) governing the use of the Fetal Tissue Annotation and Segmentation Dataset to be downloaded. I. Acceptance of this Agreement By downloading or otherwise accessing the Fetal Tissue Annotation and Segmentation Dataset, the Downloader represents his/her acceptance of the terms of this Agreement. II. Data ownership The owner of the Fetal Tissue Annotation and Segmentation Dataset is the University Children’s Hospital Zurich. III. Use of the Materials Fetal Tissue Annotation and Segmentation Dataset is used only for research and education. Any other kind of use you will lead to the recall of all datasets, stop of collaboration, and legal consequences. This Agreement represents the entire agreement between Downloader and User with respect to the downloading and use of the Materials and supersedes all prior or contemporaneous communications and proposals (whether oral, written, or electronic) between Downloader and User with respect to downloading or using the Materials.

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Keywords

Segmentation, Fetal brain 3D MRI, Deep neural network, Dataset

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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