Deteksi Esophagitis Berdasarkan Foto Hasil Endoskopi Menggunakan Algoritma CNN

Trisnia Adi, Pramulyan (2024) Deteksi Esophagitis Berdasarkan Foto Hasil Endoskopi Menggunakan Algoritma CNN. Diploma thesis, Universitas Mohammad Husni Thamrin.

[thumbnail of Cover] Image (Cover)
Trisnia Adi Pramulyan_D4 Teknik Elektromedik_2024_Cover.jpg - Published Version

Download (663kB)
[thumbnail of Abstrak] Text (Abstrak)
Trisnia Adi Pramulyan_D4 Teknik Elektromedik_2024_Abstrak.pdf - Published Version

Download (17kB)
[thumbnail of Bab 1] Text (Bab 1)
Trisnia Adi Pramulyan_D4 Teknik Elektromedik_2024_BAB I.pdf - Published Version

Download (36kB)
[thumbnail of Fulltext] Text (Fulltext)
Trisnia Adi Pramulyan_D4 Teknik Elektromedik_2024_KTI.pdf - Published Version
Restricted to Registered users only

Download (2MB)
[thumbnail of Daftar Pustaka] Text (Daftar Pustaka)
Trisnia Adi Pramulyan_D4 Teknik Elektromedik_2024_Dapus.pdf - Published Version

Download (72kB)
Item Type: Thesis (Diploma)
Contributors:
Contribution
Name
Email
Thesis advisor
Muhtar, Muhtar
UNSPECIFIED
Thesis advisor
Mulyatno, Mulyatno
UNSPECIFIED
Uncontrolled Keywords: Convolutional Neural Network, Esophagitis, Endoskopi, Teknologi AI, Analisi Citra Medis, Deep Learning, Deteksi Penyakit.
Subjects: R Medicine > R Medicine (General)
T Technology > T Technology (General)
Divisions: Fakultas Kesehatan > D4 Teknik Elektromedik
Depositing User: Trisnia Adi Pramulyan
Date Deposited: 25 Nov 2024 07:12
Last Modified: 25 Nov 2024 07:12
URI: http://eresources.thamrin.ac.id/id/eprint/2489

Actions (login required)

View Item
View Item