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A deep-learning framework for brain tumor segmentation via three-dimensional mass-preserving geometric transformation
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| Published in: | Brain Informatics |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1868552481608302592 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Brain Informatics |
| description | |
| discipline_display | Psychiatry and Neurology |
| discipline_facet | Psychiatry and Neurology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:58934 |
| institution | FRELIP |
| journal_source_facet | Brain Informatics |
| last_indexed | 2026-06-20T21:20:55.268Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | A deep-learning framework for brain tumor segmentation via three-dimensional mass-preserving geometric transformation Psychiatry and Neurology General Psychiatry and Neurology |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Psychiatry and Neurology General Psychiatry and Neurology |
| subject_facet | Psychiatry and Neurology General Psychiatry and Neurology |
| title | A deep-learning framework for brain tumor segmentation via three-dimensional mass-preserving geometric transformation |
| title_alt | Un marco de aprendizaje profundo para la segmentación de tumores cerebrales mediante transformación geométrica tridimensional que preserva la masa Un cadre d'apprentissage profond pour la segmentation des tumeurs cérébrales via une transformation géométrique tridimensionnelle préservant la masse Uma estrutura de aprendizado profundo para segmentação de tumores cerebrais via transformação geométrica tridimensional preservadora de massa |
| title_auth | A deep-learning framework for brain tumor segmentation via three-dimensional mass-preserving geometric transformation |
| title_es_txt | Un marco de aprendizaje profundo para la segmentación de tumores cerebrales mediante transformación geométrica tridimensional que preserva la masa |
| title_fr_txt | Un cadre d'apprentissage profond pour la segmentation des tumeurs cérébrales via une transformation géométrique tridimensionnelle préservant la masse |
| title_full | A deep-learning framework for brain tumor segmentation via three-dimensional mass-preserving geometric transformation |
| title_fullStr | A deep-learning framework for brain tumor segmentation via three-dimensional mass-preserving geometric transformation |
| title_full_unstemmed | A deep-learning framework for brain tumor segmentation via three-dimensional mass-preserving geometric transformation |
| title_pt_txt | Uma estrutura de aprendizado profundo para segmentação de tumores cerebrais via transformação geométrica tridimensional preservadora de massa |
| title_short | A deep-learning framework for brain tumor segmentation via three-dimensional mass-preserving geometric transformation |
| title_sort | a deep-learning framework for brain tumor segmentation via three-dimensional mass-preserving geometric transformation |
| topic | Psychiatry and Neurology General Psychiatry and Neurology |
| url | https://link.springer.com/article/10.1186/s40708-026-00307-z |