Deep learning-based computer-aided diagnosis (cad): applications for medical image datasets

YA Kadhim, MU Khan, A Mishra - Sensors, 2022 - mdpi.com
Computer-aided diagnosis (CAD) has proved to be an effective and accurate method for
diagnostic prediction over the years. This article focuses on the development of an …

Improving of classification accuracy of cyst and tumor using local polynomial estimator

N Chamidah, KH Gusti, E Tjahjono… - … Electronics and Control …, 2019 - telkomnika.uad.ac.id
Cyst and tumor in oral cavity are seriously noticed by health experts along with increasing
death cases of oral cancer in developing country. Early detection of cyst and tumor using …

[PDF][PDF] An IoMT-based federated and deep transfer learning approach to the detection of diverse chest diseases using chest X-rays

B Kakkar, P Johri, Y Kumar, H Park, Y Son… - Hum Centric Comput Inf …, 2022 - hcisj.com
Since chest illnesses are so frequent these days, it is critical to identify and diagnose them
effectively. As such, this study proposes a model designed to accurately predict chest …

An artificial neural network approach for detecting skin cancer

S Sugiarti, Y Yuhandri, J Na'am… - Telkomnika …, 2019 - telkomnika.uad.ac.id
This study aims to present diagnose of melanoma skin cancer at an early stage. It applies
feature extraction method of the first order for feature extraction based on texture in order to …

Choroidal neovascularisation classification on fundus retinal images using local linear estimator

A Puspitawati, N Chamidah - IOP Conference Series: Materials …, 2019 - iopscience.iop.org
Choroidal neovascularization describes the abnormal growth of vessels from the
choriocapillaris through the Bruch membrane into the space beneath the retinal pigment …

Detection of proximal caries at the molar teeth using edge enhancement algorithm

J Na'am, J Harlan, S Madenda… - … Journal of Electrical …, 2018 - repository.upiyptk.ac.id
Panoramic X-Ray produces the most common oral digital radiographic image that it used in
dentistry practice. The image can further improve accuracy compared to analog one. This …

Prediction of chest diseases using transfer learning

SB Priya, M Rajamanogaran… - Machine Learning for …, 2021 - Wiley Online Library
People are being affected by pollution and irregular food habits day by day. This leads to the
cause of many kinds of diseases, especially chest diseases such as Pneumothorax …

Filter technique of medical image on multiple morphological gradient (MMG) method

J Na'am, J Harlan, R Syelly… - … Electronics and Control …, 2019 - telkomnika.uad.ac.id
Filter technique is supportive for reducing image noise. This paper presents a study on
filtering medical images, ie, CT-Scan, Chest X-ray and Panoramic X-ray collected from two …

Advanced Diagnostics of Respiratory Distress Syndrome in Premature Infants Treated with Surfactant and Budesonide through Computer-Assisted Chest X-ray …

T Prodanovic, S Petrovic Savic, N Prodanovic… - Diagnostics, 2024 - mdpi.com
This research addresses the respiratory distress syndrome (RDS) in preterm newborns
caused by insufficient surfactant synthesis, which can lead to serious complications …

Analisis Perbandingan Perbaikan Kualitas Citra Pada Motif Batik Dengan Konsep Deteksi Tepi Robert, Sobel, Canny Menggunakan Metode Morfologi

MA Masril, J Na'am - Jurnal RESTI (Rekayasa Sistem dan …, 2019 - jurnal.iaii.or.id
Image results from quality edge detection are not optimal. From these problems a method is
needed to improve the image quality of edge detection. The method used is Dilation …