Meningioma-SFT-Classifier (Software)

DOI

Meningioma-SFT-Classifier is a decision support system is designed to classify 1.5 or 3 T short echo (30-32 ms) single-voxel MR spectra processed with the INTERPRET parameters of JMRUI2XML2 into either Meningioma or Solitary Fibrous Tumor (SFT) using Linear Discriminant Analysis (LDA). The tool assists radiologists or researchers by automating the classification of MR spectra, helping them to distinguish between meningiomas and solitary fibrous tumors. It applies an LDA model to analyze features extracted from MR spectra in XML format, generating a result based on this analysis.

Meningioma-SFT-Classifier, 1

Identifier
DOI https://doi.org/10.34810/data2109
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data2109
Provenance
Creator Tóth, Lili Fanni (ORCID: 0000-0002-4553-292X); Arus, Carles ORCID logo; Majos, Carles ORCID logo; Pons-Escoda, Albert ORCID logo; Julià-Sapé, Margarida ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Julià Sapé, Ma. Margarita; Toth, Lili; Julià Sapé, Margarida; Universitat Autònoma Barcelona (UAB)
Publication Year 2025
Funding Reference Instituto de Salud Carlos III PI20/00064 ; Instituto de Salud Carlos III PI20/00360 ; Ministerio de Sanidad y Consumo CB06/01/0010 ; Agencia Estatal de Investigación PID2019-104551RB-I00 ; Xartecsalut XARDI 00021
Rights Custom Dataset Terms; info:eu-repo/semantics/openAccess; https://dataverse.csuc.cat/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.34810/data2109
OpenAccess true
Contact Julià Sapé, Ma. Margarita (Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")
Representation
Resource Type Other; Dataset
Format application/x-msdownload; application/pdf; text/plain
Size 85321195; 149550; 4125
Version 1.0
Discipline Life Sciences; Medicine
Spatial Coverage Spain