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[PDF] Top 20 1. Precaution of heart failure based on computer aided diagnosis system

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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

... of heart system and also alert the patient “The problem or disease is indeterminate, Medicine cannot be determined? recognized,!!!! contact physically to nearest doctor as soon as ... See full document

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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

... The proposed approach was tested in MATLAB 10.0 and verified on the set of mammogram image with different features. The set of mammogram were obtained from DDSM database and resolution of a mammogram is 50 μm/pixel and ... See full document

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Computer Aided Diagnosis System to Distinguish Adhd from Similar Behavioral Disorders

Computer Aided Diagnosis System to Distinguish Adhd from Similar Behavioral Disorders

... support system to distinguish children with ADHD from other similar children behavioral disorders such as depression, anxiety, comorbid depression and anxiety and conduct disorder based on the signs and ... See full document

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A computer aided diagnosing system in the evaluation of thyroid nodules—experience in a specialized thyroid center

A computer aided diagnosing system in the evaluation of thyroid nodules—experience in a specialized thyroid center

... pathological diagnosis, and 10 were con- firmed with benign US ...Table 1 summarizes the grayscale and color Doppler ultrasonographic features of the thyroid nodules based on different ... See full document

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A survey on computer aided diagnosis for ocular diseases

A survey on computer aided diagnosis for ocular diseases

... An observable sign for PM detection is PPA, an atrophy of pre-existing retina tissue. The APAMEA system pro- posed by Liu et al. [71] was the first CAD system for PM detection. In APAMEA, features were ... See full document

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ANN based Computer aided diagnosis and 
		classification of skin cancers

ANN based Computer aided diagnosis and classification of skin cancers

... lymphatic system or blood [1]. Early diagnosis of melanoma helps in reducing the morbidity and cost of ...than 1 mm. However, when it grows beyond 1 mm, the prognosis is less effective ... See full document

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Breast Cancer Computer-aided Diagnosis System from Digital Mammograms

Breast Cancer Computer-aided Diagnosis System from Digital Mammograms

... features based on contrast, regions, size, and shape were used across the selected areas in order to classify them as either normal tissue or as ...CAD-bases system to trace cases of breast cancer [14] ... See full document

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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

... Cardiovascular diseases are a global public health problem, because they contribute about 30% of global mortality and 10% of the global disease burden [1, 2, 3]. In 2005, about 58 million deaths occurred ... See full document

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Application of infrared thermography in computer aided diagnosis

Application of infrared thermography in computer aided diagnosis

... was aided by ad- vances in processing techniques, improved sensitivity and spatial resolution of ther- mal ...thermography based Computer- Aided Diagnosis (CAD) ... See full document

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A Computer Aided Diagnosis System for Lung Cancer based on Statistical and Machine Learning Techniques

A Computer Aided Diagnosis System for Lung Cancer based on Statistical and Machine Learning Techniques

... a computer aided diagnosis system for the purpose of classifying lung ...The system includes preprocessing phase, feature extraction phase, feature selection phase and classification ... See full document

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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

... a Computer-Aided Detection/Diagnosis (CAD) system that could provide valuable assistance to the radiologist for the discrimination between in situ and infiltrating ...The system ... See full document

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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

... Where, T(x,y) represents the threshold, Id(x,y) represents dilation and F ’’ (x,y) denotes the complement of an image. Here the Adaptive thresholding [14] performed based on otsu thresholding, it separates the ... See full document

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Computer Aided Diagnosis System For Brain Disease Analysis

Computer Aided Diagnosis System For Brain Disease Analysis

... Menze et al. 8 that even manual annotation performed by expert raters showed significant variations in areas where intensity gradients between tumorous structure and surrounding tissue are smooth or obscured by bias ... See full document

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Computer Aided System for Crankshafts Failure Rate of Automobile Based on Distance Travel and Age

Computer Aided System for Crankshafts Failure Rate of Automobile Based on Distance Travel and Age

... Scenario 1: The values of Failure rate obtained from Computer Software re- sult were plotted against Time of occurrence (in year) for vehicular brands at constant distance and age (100,000 km; 5 ... See full document

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Cardiothyreosis: Risk Factors and Clinical Profile

Cardiothyreosis: Risk Factors and Clinical Profile

... thyrotoxic heart diseases are the most complications of ...Its diagnosis is based on the association of thyrotoxicosis and various cardiovascular disorders such as heart failure, ... See full document

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Automated detection of atrial fibrillation using long short term memory network with RR interval signals

Automated detection of atrial fibrillation using long short term memory network with RR interval signals

... Accurate diagnosis of AF is obligatory for initiation of effective treatment to prevent ...learning system to detect AF beats in Heart Rate (HR) ...The system was validated and tested with ... See full document

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Machine Learning Based Diagnosis and Prediction System for Congestive Heart Failure

Machine Learning Based Diagnosis and Prediction System for Congestive Heart Failure

... algorithm for learning the machine. It utilizes a decision tree to map objects to some predictive findings. It is based on the model of classification that categorizes the information input into an outcome ... See full document

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A Survey on Lung Cancer Detection using Image Data Analysis and Machine Learning

A Survey on Lung Cancer Detection using Image Data Analysis and Machine Learning

... Incorrect and/or late diagnoses are the two leading causes of cancer related deaths. Lung cancer in particular, is a major killer the world over. Poor prognosis means that less than 15% of registered cases survive past ... See full document

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Cardiovascular magnetic resonance characterization of left ventricular non compaction provides independent prognostic information in patients with incident heart failure or suspected cardiomyopathy

Cardiovascular magnetic resonance characterization of left ventricular non compaction provides independent prognostic information in patients with incident heart failure or suspected cardiomyopathy

... cardiomyopathy, in whom cardiovascular magnetic resonance (CMR) yielded a diagnosis of LVNC, for 27 ± 16 months. Results: LVNC was preferentially distributed among posterolateral segments, with apical ... See full document

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Clinical characteristics of emergency department heart failure patients initially diagnosed as non-heart failure

Clinical characteristics of emergency department heart failure patients initially diagnosed as non-heart failure

... electronic heart sound data investigation if they were over 18 years of age, had an electrocardiogram (ECG) ordered, had signs or symptoms of heart failure (dyspnea, lower extremity edema, fatigue, ... See full document

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