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A deep sift convolutional neural networks for total brain volume estimation from 3D ultrasound images.

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Title: A deep sift convolutional neural networks for total brain volume estimation from 3D ultrasound images.
Authors: Jafrasteh, Bahram1, jafrasteh.bahram@inibica.es, Lubián-López, Simón Pedro1,2, simonp.lubian.sspa@juntadeandalucia.es, Benavente-Fernández, Isabel1,2,3, isabel.benavente@uca.es
Source: Computer Methods & Programs in Biomedicine; Dec2023, Vol. 242, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 173559876
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A deep sift convolutional neural networks for total brain volume estimation from 3D ultrasound images.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.cmpb.2023.107805
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      – Code: eng
        Text: English
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      – TitleFull: A deep sift convolutional neural networks for total brain volume estimation from 3D ultrasound images.
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            NameFull: Jafrasteh, Bahram
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            NameFull: Lubián-López, Simón Pedro
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            NameFull: Benavente-Fernández, Isabel
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            – D: 01
              M: 12
              Text: Dec2023
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              Y: 2023
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