"Fully-automatic identification of gynaecological abnormality using a new ..."

Ihsan Jasim Hussein et al. (2022)

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DOI: 10.1111/EXSY.12789

access: closed

type: Journal Article

metadata version: 2022-06-23

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Ihsan Jasim Hussein, Burhanuddin Mohd Aboobaider, Mazin Abed Mohammed, Narjes Benameur, Marwah Suliman Maashi, Mashael S. Maashi:
Fully-automatic identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (HOG). Expert Syst. J. Knowl. Eng. 39(3) (2022)

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