Robust hybrid watermarking for security of medical images in computer-aided diagnosis based telemedicine applications

2018 ◽  
Author(s):  
Ramsha Ahmed ◽  
Bilal Hassan ◽  
Bo Li
Keyword(s):  
Medical Images ◽  
Computer Aided Diagnosis ◽  
Computer Aided ◽  
Hybrid Watermarking ◽  
Aided Diagnosis

Realization methods of computer-aided diagnosis system of medical images

2019 ◽  
Vol 13 ◽  
Author(s):  
Muhammad Aqeel Ashraf ◽  
Shahreen Kasim
Keyword(s):  
Data Model ◽  
Object Segmentation ◽  
Medical Images ◽  
Computer Aided Diagnosis ◽  
Support Vector ◽  
Cad System ◽  
Existing Problems ◽  
Vector Machines ◽  
Computer Aided ◽  
Aided Diagnosis

: In this paper, medical images are used to realize the computer-aided diagnosis (CAD) system which develops targeted solutions to existing problems. Relying on the Mi COM platform, this system has collected and collated cases of all kinds, based on which a unified data model is constructed according to the gold standard derived by deducting each instance. Afterwards, the object segmentation algorithm is employed to segment the diseased tissues. Edge modification and feature extraction are performed for the tissue block segmented. The features extracted are classified by applying support vector machines or the Naive Bayesian classification algorithm. From the simulation results, the CAD system developed in this paper allows realization of diagnosis and treatment and sharing of data resources.

Computer-Aided Diagnosis Support Systems for Medical Images by Deep Learning

2017 ◽  
Vol 2017 (0) ◽  
pp. 2P2-E03
Author(s):  
Takashi KAWAKAMI ◽  
Hiromu HASHIMOTO ◽  
Ryosuke OOE ◽  
Akihiro KIKUCHI ◽  
Hiroyuki HORIKOSHI
Keyword(s):  
Deep Learning ◽  
Support Systems ◽  
Medical Images ◽  
Computer Aided Diagnosis ◽  
Computer Aided ◽  
Aided Diagnosis
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