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

Desiani, Anita (2023) (TURNITIN) Bi-path architecture of CNN segmentation and classification method for cervical cancer fisorders based on pap-smear images. Turnitin Universitas Sriwijaya. (Unpublished)

Text TURNITIN-Bi-Path Architecture of CNN Segmentation and Classification Method for Cervical Cancer Disorders Based on Pap-smear Images.pdf Download (5MB)

Item Type:	Other
Subjects:	#3 Repository of Lecturer Academic Credit Systems (TPAK) > Results of Ithenticate Plagiarism and Similarity Checker
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Anita Desiani
Date Deposited:	30 Apr 2023 23:23
Last Modified:	30 Apr 2023 23:23
URI:	http://repository.unsri.ac.id/id/eprint/98575

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