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Development of a Fully Optimized Convolutional Neural Network for Astrocytoma Classification in MRI Using Explainable Artificial Intelligence.

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Bibliographic Details
Title: Development of a Fully Optimized Convolutional Neural Network for Astrocytoma Classification in MRI Using Explainable Artificial Intelligence.
Authors: Andrianos, Christos Ch.1, Kostopoulos, Spiros A.1, Kalatzis, Ioannis K.1, Glotsos, Dimitris Th.1, Asvestas, Pantelis A.1, Cavouras, Dionisis A.1, Athanasiadis, Emmanouil I.1, mathan@uniwa.gr
Source: Journal of Imaging; Oct2025, Vol. 11 Issue 10, p343, 22p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188990200
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Development of a Fully Optimized Convolutional Neural Network for Astrocytoma Classification in MRI Using Explainable Artificial Intelligence.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188990200
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        Value: 10.3390/jimaging11100343
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      – Code: eng
        Text: English
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        StartPage: 343
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      – TitleFull: Development of a Fully Optimized Convolutional Neural Network for Astrocytoma Classification in MRI Using Explainable Artificial Intelligence.
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            NameFull: Andrianos, Christos Ch.
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              M: 10
              Text: Oct2025
              Type: published
              Y: 2025
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