SLIMBRAIN database: A multimodal image database of in vivo human brains for tumour detection
Abstract Hyperspectral imaging (HSI) and machine learning (ML) have been employed in the medical field for classifying highly infiltrative brain tumours. Although existing HSI databases of in vivo human brains are available, they present two main deficiencies. First, the amount of labelled data are...
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Nature Portfolio
2025-05-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04993-y |
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| author | Alberto Martín-Pérez Manuel Villa Gonzalo Rosa Olmeda Jaime Sancho Guillermo Vazquez Gemma Urbanos Alejandro Martinez de Ternero Miguel Chavarrías Luis Jimenez-Roldan Angel Perez-Nuñez Alfonso Lagares Eduardo Juarez César Sanz |
| author_facet | Alberto Martín-Pérez Manuel Villa Gonzalo Rosa Olmeda Jaime Sancho Guillermo Vazquez Gemma Urbanos Alejandro Martinez de Ternero Miguel Chavarrías Luis Jimenez-Roldan Angel Perez-Nuñez Alfonso Lagares Eduardo Juarez César Sanz |
| author_sort | Alberto Martín-Pérez |
| collection | DOAJ |
| description | Abstract Hyperspectral imaging (HSI) and machine learning (ML) have been employed in the medical field for classifying highly infiltrative brain tumours. Although existing HSI databases of in vivo human brains are available, they present two main deficiencies. First, the amount of labelled data are scarce, and second, 3D-tissue information is unavailable. To address both issues, we present the SLIMBRAIN database, a multimodal image database of in vivo human brains that provides HS brain tissue data within the 400–1000 nm spectra, as well as RGB, depth and multiview images. Two HS cameras, two depth cameras and different RGB sensors were used to capture images and videos from 193 patients. All the data in the SLIMBRAIN database can be used in a variety of ways, for example, to train ML models with more than 1 million HS pixels available and labelled by neurosurgeons, to reconstruct 3D scenes or to visualize RGB brain images with different pathologies, offering unprecedented flexibility for both the medical and engineering communities. |
| format | Article |
| id | doaj-art-98de9457bdfa488b839a84a0f1cbb00c |
| institution | DOAJ |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-98de9457bdfa488b839a84a0f1cbb00c2025-08-20T03:08:22ZengNature PortfolioScientific Data2052-44632025-05-0112112310.1038/s41597-025-04993-ySLIMBRAIN database: A multimodal image database of in vivo human brains for tumour detectionAlberto Martín-Pérez0Manuel Villa1Gonzalo Rosa Olmeda2Jaime Sancho3Guillermo Vazquez4Gemma Urbanos5Alejandro Martinez de Ternero6Miguel Chavarrías7Luis Jimenez-Roldan8Angel Perez-Nuñez9Alfonso Lagares10Eduardo Juarez11César Sanz12Research Center on Software Technologies and Multimedia Systems, Universidad Politécnica de Madrid (UPM)Research Center on Software Technologies and Multimedia Systems, Universidad Politécnica de Madrid (UPM)Research Center on Software Technologies and Multimedia Systems, Universidad Politécnica de Madrid (UPM)Research Center on Software Technologies and Multimedia Systems, Universidad Politécnica de Madrid (UPM)Research Center on Software Technologies and Multimedia Systems, Universidad Politécnica de Madrid (UPM)Research Center on Software Technologies and Multimedia Systems, Universidad Politécnica de Madrid (UPM)Research Center on Software Technologies and Multimedia Systems, Universidad Politécnica de Madrid (UPM)Research Center on Software Technologies and Multimedia Systems, Universidad Politécnica de Madrid (UPM)Neurosurgery Department, Hospital Universitario 12 de Octubre, Medicine Faculty, Universidad Complutense de Madrid (UCM), Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12)Neurosurgery Department, Hospital Universitario 12 de Octubre, Medicine Faculty, Universidad Complutense de Madrid (UCM), Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12)Neurosurgery Department, Hospital Universitario 12 de Octubre, Medicine Faculty, Universidad Complutense de Madrid (UCM), Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12)Research Center on Software Technologies and Multimedia Systems, Universidad Politécnica de Madrid (UPM)Research Center on Software Technologies and Multimedia Systems, Universidad Politécnica de Madrid (UPM)Abstract Hyperspectral imaging (HSI) and machine learning (ML) have been employed in the medical field for classifying highly infiltrative brain tumours. Although existing HSI databases of in vivo human brains are available, they present two main deficiencies. First, the amount of labelled data are scarce, and second, 3D-tissue information is unavailable. To address both issues, we present the SLIMBRAIN database, a multimodal image database of in vivo human brains that provides HS brain tissue data within the 400–1000 nm spectra, as well as RGB, depth and multiview images. Two HS cameras, two depth cameras and different RGB sensors were used to capture images and videos from 193 patients. All the data in the SLIMBRAIN database can be used in a variety of ways, for example, to train ML models with more than 1 million HS pixels available and labelled by neurosurgeons, to reconstruct 3D scenes or to visualize RGB brain images with different pathologies, offering unprecedented flexibility for both the medical and engineering communities.https://doi.org/10.1038/s41597-025-04993-y |
| spellingShingle | Alberto Martín-Pérez Manuel Villa Gonzalo Rosa Olmeda Jaime Sancho Guillermo Vazquez Gemma Urbanos Alejandro Martinez de Ternero Miguel Chavarrías Luis Jimenez-Roldan Angel Perez-Nuñez Alfonso Lagares Eduardo Juarez César Sanz SLIMBRAIN database: A multimodal image database of in vivo human brains for tumour detection Scientific Data |
| title | SLIMBRAIN database: A multimodal image database of in vivo human brains for tumour detection |
| title_full | SLIMBRAIN database: A multimodal image database of in vivo human brains for tumour detection |
| title_fullStr | SLIMBRAIN database: A multimodal image database of in vivo human brains for tumour detection |
| title_full_unstemmed | SLIMBRAIN database: A multimodal image database of in vivo human brains for tumour detection |
| title_short | SLIMBRAIN database: A multimodal image database of in vivo human brains for tumour detection |
| title_sort | slimbrain database a multimodal image database of in vivo human brains for tumour detection |
| url | https://doi.org/10.1038/s41597-025-04993-y |
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