Putra, Satya Dwi Permana (2025) IMPLEMENTASI THRESHOLDING DAN EDGE DETECTION DALAM PRE-PROCESSING CITRA MRI UNTUK PENINGKATAN AKURASI MODEL VGG16 PADA IDENTIFIKASI TUMOR OTAK. Undergraduate thesis, Universitas Nusantara PGRI Kediri.
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Abstract
Penelitian ini bertujuan meningkatkan akurasi klasifikasi citra MRI tumor otak dengan menerapkan teknik pre-processing berupa Thresholding Otsu dan edge detection Canny sebelum diproses oleh model VGG16. Citra MRI yang seringkali memiliki noise dan kurang tajam diproses melalui tahapan konversi ke grayscale, Thresholding Otsu, serta edge detection Canny untuk memperjelas informasi visual. Dataset terdiri dari empat kelas (glioma, healthy, meningioma, dan pituitary) yang dibagi dalam folder pelatihan, validasi, dan pengujian. Model VGG16 digunakan dengan metode transfer learning dan dievaluasi menggunakan metrik akurasi, confusion matrix, dan classification report. Hasil eksperimen menunjukkan bahwa kombinasi pre-processing tersebut berhasil meningkatkan akurasi model hingga 94,89% pada data uji, membuktikan kontribusi signifikan teknik ini dalam meningkatkan performa klasifikasi citra MRI tumor otak.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Pre-processing, Thresholding Otsu, Deteksi Tepi Canny, VGG16, Tumor Otak |
Subjects: | 410 Engineering science > 457 Computer engineering 410 Engineering science > 458 Technical information 410 Engineering science > 461 Information systems |
Divisions: | Fakultas Teknik dan Ilmu Komputer > S1-Teknik Informatika |
Depositing User: | Satya Dwi Permana Putra |
Last Modified: | 07 Aug 2025 13:19 |
URI: | http://repository.unpkediri.ac.id/id/eprint/20851 |
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