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Found 139933 Document(s) match with the query 9999920516157
Penilaian Meibomian Gland Dysfunction melalui Analisis Kecerdasan Artifisial Menggunakan Pencitraan Meibografi pada Pasien Penyakit Mata Kering RSCM Kirana Tahun 2021 = Detection of Meibomian Gland Dysfunction through Artificial Intelligence Analysis Using Meibographic Imaging in Dry Eye Disease Patients at RSCM Kirana in 2021
Author : Siagian, Rejoel Mangasa, author
Call Number : S-pdf
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
Analisis Kinerja Arsitektur ResNet50 Dalam Klasifikasi Disfungsi Kelenjar Meibom pada Penyakit Mata Kering = Performance Analysis of ResNet50 Architecture in Meibomian Gland Dysfunction Classification in Dry Eye Disease
Author : Muhammad Rangga Buwana, author
Call Number : S-pdf
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
Segmentasi Kelenjar Meibom Pada Penyakit Mata Kering Menggunakan Metode SegNet = Meibomian Gland Segmentation on Dry Eye Disease Using SegNet Method
Author : Muhammad Ulwan Faqih, author
Call Number : S-pdf
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
Klasifikasi Disfungsi Kelenjar Meibom pada Penyakit Mata Kering Menggunakan Metode Convolutional Neural Network dengan Arsitektur AlexNet = Classification of Meibomian Gland Dysfunction in Dry Eye Disease Using Convolutional Neural Network Method with AlexNet Architecture
Author : Raven Ginola Imanuel, author
Call Number : S-pdf
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
Validitas Dan Reliabilitas Meibografi Filter Merah Oleh Smartphone Pada Pasien Meibomian Gland Dysfunction = The Validity And Reliability Of Red Filter Meibography By Smartphones In Patients With Meibomian Gland Dysfunction
Author : Gisela Haza Anissa, author
Call Number : T-pdf
Collection Type : UI - Tesis Membership
Location : Universitas Indonesia Library
Analisis Kinerja Metode U-Net Dalam Segmentasi Kelenjar Meibom Pada Penyakit Mata Kering = Performance Analysis Of The U-Net Method In Meibomian Gland Segmentation In Dry Eye Disease
Author : Tiara Adinda Putri, author
Call Number : S-pdf
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
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