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Deep learning role in early diagnosis of prostate cancer
(SAGE Publications, 2018-05)
The objective of this work is to develop a computer-aided diagnostic system for early diagnosis of prostate cancer. The presented system integrates both clinical biomarkers (prostate-specific antigen) and extracted features ...
A novel CAD system for local and global early diagnosis of Alzheimer's disease based on PIB-PET scans
(IEEE, 2017-09)
This manuscript presents a Computer Aided Diagnosis (CAD) system to assist in the early diagnosis of Alzheimer's disease (AD) with the ability to provide a personalized diagnosis by visualizing the detected abnormality per ...
A mobile-programmable smart mirror for ambient iot environments
(IEEE, 2017-08)
The purpose of this paper is to present a smart interactive mirror interface. In this paper, we describe the design and development of a futuristic mirror that offers simplified and customisable services to the home ...
A novel adcs-based cnn classification system for precise diagnosis of prostate cancer
(IEEE, 2018-08)
This paper addresses the issue of early diagnosis of prostate cancer from diffusion-weighted magnetic resonance imaging (DWI) using a convolutional neural network (CNN) based computer-aided diagnosis (CAD) system. The ...
Smart Mobile-Based Emergency Management and Notification System
(IEEE, 2016-08)
Abstract:
Mobile government is an innovative research area where efforts are made to advance governmental and public services. As such, in this paper, we propose a crisis management system for real-time emergency notification ...
A novel autoencoder-based diagnostic system for early assessment of lung cancer
(IEEE, 2018-07)
A novel framework for the classification of lung nodules using computed tomography (CT) scans is proposed in this paper. To get an accurate diagnosis of the detected lung nodules, the proposed framework integrates the ...
6‐MV small field output factors: intra‐/intermachine comparison and implementation of TRS‐483 using various detectors and several linear accelerators
(American Association of Physicists In Medicine, 2019-11)
The TRS-483 Code of Practice (CoP) introduced and provided output correction factors to be applied to measured detector-reading ratios to obtain OFs for several small-field detectors. Detector readings for 0.5 cm × 0.5 cm ...
Cloud-based monitoring of thermal anomalies in industrial environments using AI and the internet of robotic things
(Multidisciplinary Digital Publishing Institute, 2020-01)
Recent advancements in cloud computing, artificial intelligence, and the internet of things (IoT) create new opportunities for autonomous industrial environments monitoring. Nevertheless, detecting anomalies in harsh ...
Extract image markers of autism using hierarchical feature selection technique
(Academic Press, 2021-01)
Autism spectrum disorder (ASD) can be described as a cognitive and behavioral impairment associated with a group of polygenetic brain disorders. ASD affects 1.4% of the children in the population. Structural magnetic ...
Identifying brain pathological abnormalities of autism for classification using diffusion tensor imaging
(Science Direct, 2021-01)
Autism is a neurodevelopmental disorder that is characterized by impairments in behavioral and communication skills. Typically, diagnosis is made in early childhood on the basis of physician visits and interviews and ...