(KORESPONDEN) Bi-path architecture of CNN segmentation and classification method for cervical cancer fisorders based on pap-smear images

Desiani, Anita (2023) (KORESPONDEN) Bi-path architecture of CNN segmentation and classification method for cervical cancer fisorders based on pap-smear images. https://www.iaeng.org/IJCS/issues_v48/issue_3/IJCS_48_3_37.pdf. (Unpublished)

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Korespondensi Bi-path architecture of CNN segmentation and classification method for cervical cancer fisorders based on pap-smear images.pdf

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Item Type: Other
Subjects: #3 Repository of Lecturer Academic Credit Systems (TPAK) > Corresponding Author
Divisions: 08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User: Anita Desiani
Date Deposited: 30 Apr 2023 23:31
Last Modified: 30 Apr 2023 23:31
URI: http://repository.unsri.ac.id/id/eprint/98550

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