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

Desiani, Anita (2023) (KORESPONDEN) A Combination of Image Enhancement and U-Net Architecture for Segmentation in Identifying Brain Tumors on CT-SCAN Images. https://www.researchgate.net/publication/367320754_A_Combination_of_Image_Enhancement_and_U-Net_Architecture_for_Segmentation_in_Identifying_Brain_Tumors_on_CT-SCAN_Images. (Unpublished)

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bukti koresponden 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) > Corresponding Author
Divisions: 08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User: Anita Desiani
Date Deposited: 01 May 2023 04:16
Last Modified: 01 May 2023 04:16
URI: http://repository.unsri.ac.id/id/eprint/98674

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