Browsing by Subject "Computer aided diagnosis"
Now showing items 1-10 of 10
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An AI-based Prediction-as-a-Service Model for Estimating Machine Bearing Health Status in Industry 4.0 5G Applications
(2021)Intelligent Machine Condition Monitoring (MCM) and Prediction for machine bearings is very important for efficient Industrial 5G applications. Common fault diagnosis and other classification methods usually extract time ... -
Applying a Convolutional Neural Network in an IoT Robotic System for Plant Disease Diagnosis
(2020)Plant diseases are major threat to green product quality and agricultural productivity. Agronomists and farmers often encounter great difficulties in early detection of plant diseases and controlling their potential ... -
Assessing the effect of human factors in healthcare cyber security practice: An empirical study
(2021)The main goal of this research paper is to address the problem of SPECT myocardial perfusion imaging (MPI) diagnosis, exploring the capabilities of convolutional neural networks (CNN). Up to date, very few research studies ... -
Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification
(2018)This paper proposes a novel methodology for automatic detection and localization of gastrointestinal (GI) anomalies in endoscopic video frame sequences. Training is performed with weakly annotated images, using only ... -
DINOSARC: Color Features Based on Selective Aggregation of Chromatic Image Components for Wireless Capsule Endoscopy
(2018)Wireless Capsule Endoscopy (WCE) is a noninvasive diagnostic technique enabling the inspection of the whole gastrointestinal (GI) tract by capturing and wirelessly transmitting thousands of color images. Proprietary software ... -
Exploring deep learning capabilities in knee osteoarthritis case study for classification
(2019)This research study is devoted to the investigation of deep neural networks (DNN) for classification of the complex problem of knee osteoarthritis diagnosis. Osteoarthritis (OA) is the most common chronic condition of the ... -
Look-behind fully convolutional neural network for computer-aided endoscopy
(2019)In this paper, we propose a novel Fully Convolutional Neural Network (FCN) architecture aiming to aid the detection of abnormalities, such as polyps, ulcers and blood, in gastrointestinal (GI) endoscopy images. The proposed ... -
A novel medical decision support system based on fuzzy cognitive maps enhanced by intuitive and learning capabilities for modeling uncertainty
(2018)In this paper, an active Hebbian learning (AHL) for intuitionistic fuzzy cognitive map (iFCM) is proposed for grading the celiac. This method performs the diagnosis procedure automatically, and it is more suitable for ... -
Traumatic and degenerative meniscus lesions: Diagnosis and classification
(2016)[No abstract available] -
Weakly-supervised Convolutional learning for detection of inflammatory gastrointestinal lesions
(2016)Graphic image annotations provide the necessary ground truth information for supervised machine learning in image-based computer-aided medical diagnosis. Performing such annotations is usually a time-consuming and ...