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Data · dataset · 2026

Tlemcen-NeuroOncMRI: A Clinically Annotated Multisequence Brain MRI Dataset with Patient-Level Metadata for Primary and Secondary Tumor Classification from Algeria

Listed in Teesside University Research Data Repository

Tlemcen-NeuroOncMRI is a clinically annotated, patient-linked brain MRI dataset collected retrospectively at the Anti-Cancer Center of Tlemcen, Algeria.

Description

It includes 45 independent patients, with 28 primary brain tumor (PBT) cases and 17 cerebral metastasis (CM) cases, for a total of 19,009 MRI images. The resource also provides patient-level metadata and one de-identified French-language clinical imaging report per patient.

MRI examinations were acquired at multiple external imaging centres, with heterogeneous acquisition protocols and sequence availability. A clinically curated subset of 2,393 images (1,334 PBT and 1,059 CM) was used for the companion patient-level benchmark. Because multiple images originate from the same patient, all machine-learning experiments should use patient-level splitting to avoid data leakage; random slice-level splitting is not recommended.

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The dataset is intended for brain tumor classification, transfer learning, multimodal MRI-report modeling, radiomics, weakly supervised learning, and reproducibility studies. It does not include voxel-level segmentation masks. All data were anonymized before release, and users must not attempt to re-identify participants.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Cancer 65% · Image 65% · Imaging 75% · Magnetic resonance imaging 65%
Provenance · 1 source records, 13 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/9ns6748zkc.214 h agoJSON v1
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