Fully‐automatic identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (HOG).

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Title: Fully‐automatic identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (HOG).
Authors: Hussein, Ihsan Jasim1, Burhanuddin, Mohd Aboobaider2, Mohammed, Mazin Abed3, mazinalshujeary@uoanbar.edu.iq, Benameur, Narjes4, Maashi, Marwah Suliman5, Maashi, Mashael S.6
Source: Expert Systems; Mar2022, Vol. 39 Issue 3, p1-18, 18p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 155435366
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Fully‐automatic identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (HOG).
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      – Type: doi
        Value: 10.1111/exsy.12789
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      – Code: eng
        Text: English
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        PageCount: 18
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      – TitleFull: Fully‐automatic identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (HOG).
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            NameFull: Hussein, Ihsan Jasim
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            NameFull: Burhanuddin, Mohd Aboobaider
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            NameFull: Mohammed, Mazin Abed
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            NameFull: Maashi, Marwah Suliman
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            NameFull: Maashi, Mashael S.
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            – D: 01
              M: 03
              Text: Mar2022
              Type: published
              Y: 2022
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