A twin-tower model using MRI and gene for prediction on brain tumor patients’ response to therapy

The proposed model exhibits excellent scalability and can accommodate the integration of additional modalities without the requirement of too many multi-modality samples.

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Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf041
Citations
1
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.25
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article

A twin-tower model using MRI and gene for prediction on brain tumor patients’ response to therapy

Fumie Costen, Qiyuan Lyu
1 citations
Bioinformatics Advances
Brain Tumor Detection and Classification
0.25
article

A twin-tower model using MRI and gene for prediction on brain tumor patients’ response to therapy

Fumie Costen, Qiyuan Lyu
article en
1 citations

Abstract

The proposed model exhibits excellent scalability and can accommodate the integration of additional modalities without the requirement of too many multi-modality samples.

Bioinformatics AdvancesVol. 5(1)
University of Manchester (GB)
Good health and well-being
Openalex Percentile: Top 39%
Brain Tumor Detection and Classification
0.25
DOIOpen Access PDFOpenAlex
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A twin-tower model using MRI and gene for prediction on brain tumor patients’ response to therapy — Fumie Costen, Qiyuan Lyu · Bioinformatics Advances (2024) | TGRS Research Map | TGRS