[PDF][PDF] Electronic Nose for Detecting Multilevel Diabetes using Optimized Deep Neural Network.

R Sarno, SI Sabilla, DR Wijaya - Engineering Letters, 2020 - engineeringletters.com
The application of electronic nose in the diagnosis of diabetes mellitus is the technology with
early diagnosis feature, non-invasive and convenient. Hence, it has been favored by doctors …

[HTML][HTML] Reconstructing and resizing 3D images from DICOM files

A Fajar, R Sarno, C Fatichah, A Fahmi - Journal of King Saud University …, 2022 - Elsevier
Current reconstruction of 3D images from DICOM (Digital Imaging and Communications in
Medicine) files requires strict supervision for the reconstructed images to have the same …

Assessing dehydration status in dengue patients using urine colourimetry and mobile phone technology

N Chew, AM Noor Azhar, A Bustam… - PLoS Neglected …, 2020 - journals.plos.org
Background Dengue is a systemic and dynamic disease with symptoms ranging from
undifferentiated fever to dengue shock syndrome. Assessment of patients' severity of …

Intelligent method for dipstick urinalysis using smartphone camera

RVH Ginardi, A Saikhu, R Sarno, D Sunaryono… - … : Second IFIP TC5/8 …, 2014 - Springer
This paper introduces an intelligent method for helping people to maintain their healthy by
doing a self urinalysis utilising a smartphone camera. A color sensing method using a …

Pemrosesan Citra Digital dalam Klasifikasi Hasil Urinalisis Menggunakan Kamera Smartphone

K Hafidh, I Muhimmah, L Rosita - Jurnal Informatika …, 2019 - e-journal.stmiklombok.ac.id
Penelitian ini mengusulkan salah satu pendekatan pengolahan citra dan klasifikasi dalam
analisis urin (urinalisis) dengan metode carik celup menggunakan dipstik urin sepuluh …

[PDF][PDF] Computer and Information Sciences

A Fajar, R Sarno, C Fatichah, A Fahmi - 2020 - lbeifits.wordpress.com
abstract Current reconstruction of 3D images from DICOM (Digital Imaging and
Communications in Medicine) files requires strict supervision for the reconstructed images to …