computer-aided-diagnosis approach
Computer Aided Diagnostic Approach for Melanoma Diagnosis Using Neural Networks
... community approach to determine the non-linear choice boundary separation two exclusive instructions of melanoma samples. The neural networks are heuristically trained at diverse architectures starting from ten ...
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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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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), 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
... a Computer-Aided Detection/Diagnosis (CAD) system that could provide valuable assistance to the radiologist for the discrimination between in situ and infiltrating ...
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Elicitation and representation of expert knowledge for computer aided diagnosis in mammography
... of computer decision aids for mammogram interpretation ...common approach is the use of image processing algorithms for the detection of abnormalities ...a diagnosis for the detected findings by ...
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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 ...
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Computer Aided Medical Diagnosis for the Treatment of Sexually Transmitted Disease (Gonorrhea)
... radical approach which cannot go beyond the paper scope [11] but rather prevented by such problems like poverty, environmental factors, individual life styles and the lack of manpower ...
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Liver Tumor Detection using Artificial Neural Networks for Medical Images
... In this research the performance of ANN been examined in classifying the liver tumor. An approach is required for segmentation of liver and tumour detection from CT Images for computer aided ...
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Computer Aided Diagnosis Of MR Images
... It made strong use of heuristics and information from complementary axial scans. Cheng used a machine- learning based technique to localize and segment the 3D IVDs from MRIs. The IVD localization was done by estimating ...
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A Survey on Computer Aided Diagnosis Systems for Lung Cancer Detection
... Kruvilla and Gunavathi (2014) described a system for the detection of lung cancer in CT scan images using ANN. In their approach, the CT scan images which were in gray scale was firstly converted to binary image ...
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The accuracy and stability of the maxillary position after orthognathic surgery using a novel computer-aided surgical simulation system
... The facial surgery protocol using FaceGide® has advan- tages similar to those of other CASS systems. Digital diagnosis and VS data files can be transmitted to the surgeon and orthodontists for final adjustments ...
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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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Automated identification of dementia using medical imaging: a survey from a pattern classification perspective
... 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 computer- aided automated ...
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Novel Based Detection and Supervised Classification of Lung Nodules
... Computer aided diagnosis for lung classification attracts the interest of researchers. There was developed many works regarding the classification accurately. The important milestone in lung ...
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ANN based Computer aided diagnosis and classification of skin cancers
... A computer based early skin cancer detection system has been suggested. It has employed preprocessing of noise removal and gray scale conversion, segmentation, feature extraction and classification. Median filter ...
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Computer Aided Identification and Analysis of Fibro adenomas
... Searching and detecting anatomic features are essential stages in the machine learning process in the medical field. Anatomic features represent quality of the images and also the adequacy of the medical test. More ...
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Quad-phased data mining modeling for dementia diagnosis
... In this study, we proposed a data mining modeling for de- mentia diagnosis by analyzing a clinical data. The proposed model identifies needs for stepwise diagnostic process and suggests proper solution. The ...
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Computer Aided Diagnosis of Clustered Microcalcifications Using Artificial Neural Nets
... C SABA S ZEPESV ARI ´ received his Ph.D. degree in mathematics from JATE, Szeged, in 1999. He is the holder of the Pro Sciencia Golden Legature in Computer Science. After finishing his Ph.D. studies at the Bolyai ...
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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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Computer aided diagnosis for cardiovascular diseases based on ECG signals : a survey
... CAD systems hold the promise of reducing cost and at the same time improving the accuracy of ECG based diagnosis. The cost reduction arises from the fact that human labor is replaced by machine work. The accuracy ...
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