Performance of deep feature extraction models after applying Dual-GAN.

<p>The table demonstrates the outcomes of different models after following the proposed pipeline. A significant improvement is observed compared to the previous outcomes, especially in terms of the minor class ‘craniopharyngioma’.</p> <p>(DOCX)</p>

Publication Details

Journal
Figshare
Published
2024-09-27
DOI
https://doi.org/10.1371/journal.pone.0310748.s028
Primary Topic
Education Methods and Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Performance of deep feature extraction models after applying Dual-GAN.

Figshare
Education Methods and Technologies
article

Performance of deep feature extraction models after applying Dual-GAN.

article en

Abstract

<p>The table demonstrates the outcomes of different models after following the proposed pipeline. A significant improvement is observed compared to the previous outcomes, especially in terms of the minor class ‘craniopharyngioma’.</p> <p>(DOCX)</p>

Figshare
Industry, innovation and infrastructure
Openalex Percentile: Top 39%
Education Methods and Technologies
DOISourceOpenAlex
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Performance of deep feature extraction models after applying Dual-GAN. · Figshare (2024) | TGRS Research Map | TGRS