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A new framework for incorporating appearance and shape features of lung nodules for precise diagnosis of lung cancer
(IEEE, 2017-09)
This paper proposes a novel framework for the classification of lung nodules using computed tomography (CT) scans. The proposed framework is based on the integrating the following features to get accurate diagnosis of ...
A new CNN-based system for early diagnosis of prostate cancer
(2018-04)
We propose a convolutional neural network (CNN) based computer-aided diagnosis (CAD) system for early diagnosis of prostate cancer from diffusion-weighted magnetic resonance imaging (DWI). The proposed CNN-based CAD system ...
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 ...
License plate automatic detection and recognition using level sets and neural networks
(IEEE, 2013-03)
In this paper, we propose a method for automatic license plate detection and recognition in the city of Abu Dhabi. The proposed method starts by segmenting moving vehicles using background subtraction. Segmented vehicles ...
A comprehensive framework for early assessment of lung injury
(IEEE, 2017-09)
A novel framework for the detection of radiation-induced lung injury (RILI) from 4D computed tomography (CT) has been proposed. Our framework performs 4D-CT lung fields segmentation, deformable image registration (DIR), ...
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 ...
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 ...
A cad system for the early prediction of hypertension based on changes in cerebral vasculature
(IEEE, 2019)
Hypertension is a leading cause for mortality in the US and a significant contributor to many vascular and non vascular diseases. Previous literature reports suggest that specific cerebral vascular alterations precede the ...
Detecting and localizing prostate cancer from diffusion-weighted magnetic resonance imaging
(IEEE, 2019-09)
The purpose of this work is to develop a computer-aided diagnosis (CAD) system for detecting and localizing prostate cancer from diffusion-weighted magnetic resonance imaging (DWI) acquired at five distinct b-values. The ...
A Cortical Based Diagnosis System for MCI Based on sMRI Features Fusion
(IEEE, 2018-10)
Alzheimer's disease (AD) is one of the most neurodegenerative disorders that target central nervous system with statistical results of more than 5 million sufferers among the Americans. According to the literature, discovering ...