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KLASIFIKASI CITRA PRAKANKER SERVIKS PADA DATA INSPEKSI VISUAL ASAM ASETAT MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK BERBASIS EXPLAINABLE ARTIFICIAL INTELLIGENCE

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Penilaian

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This study focuses on Explainable Artificial Intelligence, based on cervical precancer data from Muh Hospital. Husein Palembang City. Cervical precancer data is classified using methods from Artificial Intelligence in this case Deep Learning such as ResNet50, MobileNetV2, and VGG16. The cervical precancer data used were 219 images or images and after the classification process with Deep Learning, the Grad-CAM method was applied, one of the methods of Explainable Artificial Intelligence. The results of the pre-cancer image classification process obtained the best value on the MobileNetV2 architecture with accuracy, sensitivity, and specificity values of 94.36%, 96.14%, and 91.83%. The results of the cervical precancer classification are used for evaluation of the black box system model with Grad-CAM to determine the system in decision making, and this architectural model is capable of making decisions based on the Grad-CAM method. Keywords: Explainable Artificial Intelligence, Classification, Grad-CAM, Precancer

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207003331	T74527	T745272022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T745272022

Publisher

Inderalaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2022

Collation

xxi, 123 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.707

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Jurusan Sistem Komputer
Data dalam sistem-sistem komputer

Specific Detail Info

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Statement of Responsibility

SEPTA

Other version/related

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