(TURNITIN) A Combination of Image Enhancement and U-Net Architecture for Segmentation in Identifying Brain Tumors on CT-SCAN Images

Desiani, Anita (2023) (TURNITIN) A Combination of Image Enhancement and U-Net Architecture for Segmentation in Identifying Brain Tumors on CT-SCAN Images. Turnitin Universitas Sriwijaya. (Unpublished)

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TURNITIN A Combination of Image Enhancement and U-Net Architecture for Segmentation in Identifying Brain Tumors on CT-SCAN 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: 30 Apr 2023 23:24
Last Modified: 30 Apr 2023 23:24
URI: http://repository.unsri.ac.id/id/eprint/98625

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