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computer aided medical diagnosis

Computer Aided Medical Diagnosis for the Treatment of Sexually Transmitted Disease (Gonorrhea)

Computer Aided Medical Diagnosis for the Treatment of Sexually Transmitted Disease (Gonorrhea)

... a computer aided medical diagnosis for the treatment of sexually transmitted diseases such as ...all, computer can be the most effective and faster way in the diagnosis and ...

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													A non invasive  computer aided diagnosis system for early detection of lung carcinoma in ct medical  images

1. A non invasive computer aided diagnosis system for early detection of lung carcinoma in ct medical images

... in Computer & Information Technology from Manonmaniam Sundaranar University, Tirunelveli, India in 2005 and Worked as Lecturer in department of Electronics & Communication Engineering in Sardar Raja ...

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Computer Aided Diagnosis System For Brain Disease Analysis

Computer Aided Diagnosis System For Brain Disease Analysis

... and prior knowledge of the brain. In this section, an iterative implement of level set methodology has been proposed for the precise segmentation of normal and abnormal tissues in magnetic resonance imaging (MRI) brain ...

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Trends in radiology and experimental research

Trends in radiology and experimental research

... regarding: computer modelling and computer aided detection and diagnosis; contrast materials, tracers, and theranostics; advanced image analysis; optical, molecular, hybrid and fusion imaging; ...

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Computer Aided Identification and Analysis of Fibro adenomas

Computer Aided Identification and Analysis of Fibro adenomas

... the medical test. More importantly for the diagnosis of vital information of tissue, it can assist doctors by identifying the location of the diagnostic features like ...

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Elicitation and representation of expert knowledge for computer aided diagnosis in mammography

Elicitation and representation of expert knowledge for computer aided diagnosis in mammography

... Although it was not the purpose of our studies, we believe that the set of descriptors we have developed has potential to be used as a reporting scheme in mammography, as it is arguably more complete and consistent than ...

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Novel Based Detection and Supervised Classification of Lung Nodules

Novel Based Detection and Supervised Classification of Lung Nodules

... recent medical custom, however analysis of CT images is difficult for radiologists because of many numbers of ...cancer. Computer aided diagnosis (CAD) systems would be supportive for ...

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Deep Learning in Computer Aided Diagnosis of MDD

Deep Learning in Computer Aided Diagnosis of MDD

... Yassin et al. [5] likewise made use of SVM classifier for distinguishing normal and depression EEG signals having particular medical features obtained from EEG data. The attained EEG data were exposed to noise ...

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Computer aided diagnosis for cardiovascular diseases based on ECG signals : a survey

Computer aided diagnosis for cardiovascular diseases based on ECG signals : a survey

... and medical staff available in urban centers than in rural ...advanced medical technologies and employing more doctors in charitable medical hospitals in rural areas might not be economically ...

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Computer Aided Diagnosis of Clustered Microcalcifications Using Artificial Neural Nets

Computer Aided Diagnosis of Clustered Microcalcifications Using Artificial Neural Nets

... E RICH S ORANTIN was born in 1957. After finishing the high school in 1976 he studied medicine at the University of Vienna. Promova- tion was in March 1982. In the later course he was trained as general practioner and in ...

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													Precaution of heart failure based on computer aided diagnosis system

1. Precaution of heart failure based on computer aided diagnosis system

... non medical person in their analytical studies of cardiovascular system characteristics such as distribution of blood flow, cardiac fitness, high and low blood ...non medical person in their analytical ...

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A survey on computer aided diagnosis for ocular diseases

A survey on computer aided diagnosis for ocular diseases

... disease diagnosis based on clinical data need to be mentioned ...glaucoma diagnosis and screen- ing architecture, automatic glaucoma diagnosis through medical imaging informatics (AGLAIA-MII), ...

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Application of infrared thermography in computer aided diagnosis

Application of infrared thermography in computer aided diagnosis

... for medical diagnosis [8]. In terms of medical applications, the usefulness of a particular diagnostic method can be expressed in terms of the ability to deliver a correct diagnosis, the side ...

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Automated identification of dementia using medical imaging: a survey from a pattern classification perspective

Automated identification of dementia using medical imaging: a survey from a pattern classification perspective

... In medical imaging based dementia diagnosis, the acquired 3D images are still analyzed almost entirely through visual inspection on a slice-by-slice basis in search of familiar dis- ease ...for ...

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A Reconfigurable Logic Control Method For CIM System

A Reconfigurable Logic Control Method For CIM System

... Nowadays, industrial companies have to implement advance technology in order to move forward in their industry field. Thus, the Computer Integrated Manufacturing (CIM) is an example of technology that can be used ...

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The accuracy and stability of the maxillary position after orthognathic surgery using a novel computer-aided surgical simulation system

The accuracy and stability of the maxillary position after orthognathic surgery using a novel computer-aided surgical simulation system

... patient’s dental structure cannot be obtained accurately due to bracketing, blurring, and enlargement of the image. Almost all orthodontic patients wear fixed metal orthodontic appliances or have metallic brackets, which ...

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Breast Cancer Mass detection in DCE-MRI using Deep-Learning Features Followed by Discrimination of Infiltrative vs In Situ Carcinoma through a Machine-learning approach

Breast Cancer Mass detection in DCE-MRI using Deep-Learning Features Followed by Discrimination of Infiltrative vs In Situ Carcinoma through a Machine-learning approach

... The problem of distinguishing invasive from in situ BC is debated in a few papers in the specific literature. In [15] Radiomics features are extracted from DCE-MRI scans (190 IDC and 58 DCIS) and used to train a random ...

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A Fast Tuning Method for Microwave Filter Using VF-Asm Technology

A Fast Tuning Method for Microwave Filter Using VF-Asm Technology

... The goal of the filter tuning is to find the optimal position of tuning elements (such as tuning screws) to satisfy the given filter specifications. From the filter specifications and based on standard filter synthesis, ...

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Breast Cancer Computer-aided Diagnosis System from Digital Mammograms

Breast Cancer Computer-aided Diagnosis System from Digital Mammograms

... regard, computer-aided diagnosis (CADe) leverages the mammography systems’ output to facilitate the radiologist’s ...similar diagnosis to the one done by a radiologist who relies for his/her ...

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A Computer Aided Diagnosis System for Microcalcification Cluster Detection in Digital Mammogram

A Computer Aided Diagnosis System for Microcalcification Cluster Detection in Digital Mammogram

... Mammography is the most efficient method for breast cancer early detection. Clusters of microcalcifications are the sign of breast cancer and their early detection is the key to improve breast cancer prognosis. ...

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