TURNITIN Bi-Path Architecture of CNN Segmentation and Classification Method for Cervical Cancer Disorders Based on Pap-smear Images

Desiani, Anita (2023) TURNITIN Bi-Path Architecture of CNN Segmentation and Classification Method for Cervical Cancer Disorders Based on Pap-smear Images. Turnitin Universitas Sriwijaya.

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TURNITIN-Bi-Path Architecture of CNN Segmentation and Classification Method for Cervical Cancer Disorders Based on Pap-smear Images.pdf

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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: 11 Apr 2023 10:32
Last Modified: 11 Apr 2023 10:32
URI: http://repository.unsri.ac.id/id/eprint/92620

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