Enhancing meningioma tumor classification accuracy through multi-task learning approach and image analysis of MRI images

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Publication Details

Journal
PLoS ONE
Published
2025-08-11
DOI
https://doi.org/10.1371/journal.pone.0327782
Primary Topic
Meningioma and schwannoma management
Type
article
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0.00
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article

Enhancing meningioma tumor classification accuracy through multi-task learning approach and image analysis of MRI images

Abdolazim Sedighi-Pashaki, Toktam Khatibi, Zahra Mehrpouya
PLoS ONE
Meningioma and schwannoma management
article

Enhancing meningioma tumor classification accuracy through multi-task learning approach and image analysis of MRI images

Abdolazim Sedighi-Pashaki, Toktam Khatibi, Zahra Mehrpouya
article en

Abstract

No abstract available for this paper.
PLoS ONEVol. 20(8)
Hamedan University of Medical Sciences (IR), Tarbiat Modares University (IR), Hamedan University of Technology (IR)
Peace, Justice and strong institutions
Openalex Percentile: Top 72%
Meningioma and schwannoma management
DOIOpen Access PDFOpenAlex
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Enhancing meningioma tumor classification accuracy through multi-task learning approach and image analysis of MRI images — Abdolazim Sedighi-Pashaki, Toktam Khatibi, et al. · PLoS ONE (2025) | TGRS Research Map | TGRS