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Found 100367 Document(s) match with the query 9999920549116
Mengoptimalkan Pengobatan Kanker: Pendekatan Deep Learning Berbasis CNN VGGNET untuk Prediksi Dosis dalam Perencanaan Terapi Radiasi = Optimizing Cancer Treatment: A Deep Learning Approach Using CNN VGGNet for Dose Prediction in Radiation Therapy Planning
Author : Ahmad Faqih, author
Call Number : S-pdf
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
Prediksi Perencanaan Dosis pada Pasien Kanker Paru-Paru Berbasis Deep Learning: Residual Network (Resnet) = Prediction of Lung Cancer Patient's Dosage Planning Using Deep Learning: Residual Network (ResNet)
Author : Thomas Hadi Wijaya, author
Call Number : S-pdf
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
Prediksi Dosis Radiasi Untuk Pasien Kanker Serviks Teknik IMRT Dengan Model Machine Learning (ML) Berbasis Support Vector Regression (SVR) = Radiation Dose prediction for Cervical Cancer Patients Using IMRT Technique with a Machine Learning Model based on Support Vector Regression (SVR)
Author : Reyhan Fikri Mushaddaq, author
Call Number : T-pdf
Collection Type : UI - Tesis Membership
Location : Universitas Indonesia Library
Deteksi Penyakit Katarak dengan Deep Learning Menggunakan Arsitektur CNN Berbasis Perspektif Konfigurasi VGG = Cataract Disease Detection with Deep Learning Using CNN Architecture Based on VGG Configuration Perspective
Author : Riefky Arif Ibrahim, author
Call Number : S-pdf
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
Prediksi Distribusi Dosis Radioterapi dengan Model Random Forest untuk Teknik Perencanaan Intensity-Modulated Radiation Therapy (IMRT) pada Kasus Kanker Paru = Prediction of Radiotherapy Dose Distribution with Random Forest Model for Intensity-Modulated Radiation Therapy (IMRT) Planning Technique in Lung Cancer Cases
Author : Tanjung, Teguh Syahrizal, author
Call Number : S-pdf
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
Pengembangan dan Analisis Metode Hybrid Deep Learning (CNN-MLP dan CNN-LSTM) untuk Peningkatan Akurasi Deteksi Serangan Man In The Middle (MitM) = Development and Analysis of Hybrid Deep Learning (CNN-MLP and CNN-LSTM) Methods to Improve Man in the Middle Detection Accuracy
Author : Hartina Hiromi Satyanegara, author
Call Number : T-pdf
Collection Type : UI - Tesis Membership
Location : Universitas Indonesia Library
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