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: a deep learning and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection
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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_ | 1868552482547826688 |
|---|---|
| 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:58937 |
| 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 and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection 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 and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection |
| title_alt | : un modelo de aprendizaje profundo y XAI para comprender características locales, globales y secuenciales de imágenes de resonancia magnética para mejorar la detección de tumores cerebrales : un modèle d'apprentissage profond et XAI pour comprendre les caractéristiques locales, globales et séquentielles des images IRM pour une meilleure détection des tumeurs cérébrales : um modelo de aprendizado profundo e XAI para entender características locais, globais e sequenciais de imagens de RM para melhor detecção de tumores cerebrais |
| title_auth | : a deep learning and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection |
| title_es_txt | : un modelo de aprendizaje profundo y XAI para comprender características locales, globales y secuenciales de imágenes de resonancia magnética para mejorar la detección de tumores cerebrales |
| title_fr_txt | : un modèle d'apprentissage profond et XAI pour comprendre les caractéristiques locales, globales et séquentielles des images IRM pour une meilleure détection des tumeurs cérébrales |
| title_full | : a deep learning and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection |
| title_fullStr | : a deep learning and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection |
| title_full_unstemmed | : a deep learning and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection |
| title_pt_txt | : um modelo de aprendizado profundo e XAI para entender características locais, globais e sequenciais de imagens de RM para melhor detecção de tumores cerebrais |
| title_short | : a deep learning and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection |
| title_sort | : a deep learning and xai model to understand local, global, and sequential features of mri images for improved brain tumour detection |
| topic | Psychiatry and Neurology General Psychiatry and Neurology |
| url | https://link.springer.com/article/10.1186/s40708-026-00303-3 |