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Breast Mass Detection and Classification

Designing of Automated CAD System for Neoplastic Breast Mass Detection

Designing of Automated CAD System for Neoplastic Breast Mass Detection

... automatic classification of Micorcalcification clusters, which includes 25 texture features for each pixel ...the detection performance significantly with lower false positives ...A classification ...

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Classification Of Breast Mass Classification - Cad System And Performance Evaluation Using Ssne

Classification Of Breast Mass Classification - Cad System And Performance Evaluation Using Ssne

... of breast cancer, usually through detection of characteristic microcalcifications and/or ...detect breast cancer in particular in the case of minimal ...of breast cancers reveal deposits of ...

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Classification of Mass in Breast Ultrasound Images using Image Processing Techniques

Classification of Mass in Breast Ultrasound Images using Image Processing Techniques

... cancer detection in the dense breast tissue of young ...lesion detection for women in this higher risk category is particularly ...The breast tissue of younger women tends to be dense and full ...

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Numerical Modelling for Ultra Wideband Radar Breast Cancer Detection and Classification

Numerical Modelling for Ultra Wideband Radar Breast Cancer Detection and Classification

... tumour mass on microwave signature in 2D UWB radar ...2D breast phantom was modelled with homogeneous normal breast tissue and surrounded by a layer of skin matching the Debye parameters used in ...

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Breast Cancer Detection and Classification using Ultrasound and Ultrasound Elastography Images

Breast Cancer Detection and Classification using Ultrasound and Ultrasound Elastography Images

... the detection of mass lesions. Breast ultrasound is a noninvasive imaging technique that produces images, which are used to assess breast ...

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Breast Cancer Detection and Classification using Analysis and Gene Back Proportional Neural Network Algorithm

Breast Cancer Detection and Classification using Analysis and Gene Back Proportional Neural Network Algorithm

... Breast Cancer is mainly due to the gathering of the one cell that causes obstruction to the whole system and forms the division of the ...that mass forms a large quantity of cells after the passage of ...

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MASS CLASSIFICATION METHOD IN MAMMOGRAMS USING ASSOCIATION RULE MINING TO DIAGNOSE BREAST CANCER

MASS CLASSIFICATION METHOD IN MAMMOGRAMS USING ASSOCIATION RULE MINING TO DIAGNOSE BREAST CANCER

... with breast cancer and 5,400 women and 50 men died from ...develop breast cancer during her lifetime (by age 90) and 1 in 28 will die from ...the breast cancer occurrence rates have increased over ...

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The Performance Evaluation of the Breast Mass Classification CAD System Basedon DWT, SNE AND SVM

The Performance Evaluation of the Breast Mass Classification CAD System Basedon DWT, SNE AND SVM

... human breast, Mammography is widely used as a diagnostic and a screening tool that uses ...of breast cancer, usually through detection of characteristic microcalcifications and/or ...detect ...

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Mammogram Image Features Extraction and Classification for Breast Cancer Detection

Mammogram Image Features Extraction and Classification for Breast Cancer Detection

... The goal of segmentation is to identify the correct areas and to analyse the diagnosis. In this proposed system active counter is used. Automatic Seeded Region increasing using haralick texture features are as follows ...

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Breast Cancer Classification using Feed Forward Back Propagation Neural Network (BPNN) Classifier

Breast Cancer Classification using Feed Forward Back Propagation Neural Network (BPNN) Classifier

... that mass detection is done efficiently; for extracting the pectoral muscles from the image, a binary image must be obtained by simple thresholding as in Fig ...

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Mass type-specific sparse representation for mass classification in computer-aided detection on mammograms

Mass type-specific sparse representation for mass classification in computer-aided detection on mammograms

... In recent years, Sparse Representation based Classification (SRC) [5] has been increasingly important in the field of signal processing. The objective of sparse repre- sentation is to represent a signal pattern in ...

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Thioredoxin 1 as a serum marker for breast cancer and its use in combination with CEA or CA15 3 for improving the sensitivity of breast cancer diagnoses

Thioredoxin 1 as a serum marker for breast cancer and its use in combination with CEA or CA15 3 for improving the sensitivity of breast cancer diagnoses

... for breast cancer, comprising the Trx1 level in blood. Breast cancer patients were found to have significantly higher serum Trx1 levels than normal persons, as measured by an indirect ...between ...

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Research on detection and integration classification based on concept drift of data stream

Research on detection and integration classification based on concept drift of data stream

... dual detection mechanism to judge the drift of concepts, and on this basis, the integration classification of data stream is carried ...of classification error and uses the features of the essential ...

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Examining the accuracy of sentiment analysis by brand monitoring companies

Examining the accuracy of sentiment analysis by brand monitoring companies

... the detection of sentiment about certain product or service lead to competitive advantage, through which they catch the opportunities and weaken the threats (Serrano-Guerrero, Olivas, Romero, & Herrera-Viedma, ...

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An uncommon granulocytic sarcoma of the breast: a case report and literature review

An uncommon granulocytic sarcoma of the breast: a case report and literature review

... extramedullary mass consisting of myeloid blasts with or without maturation, which destroys the normal tissue ...Organization classification, it represents a unique clinical presentation of any subtype of ...

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Improving early detection of breast cancer in sub-Saharan Africa: why mammography may not be the way forward

Improving early detection of breast cancer in sub-Saharan Africa: why mammography may not be the way forward

... proven breast cancer in SSA countries (summarised in Table ...of breast cancer among women in SSA could have a considerable impact on stage at diagnosis, and confer im- proved prognoses and treatment ...

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A dried blood spot mass spectrometry metabolomic approach for rapid breast cancer detection

A dried blood spot mass spectrometry metabolomic approach for rapid breast cancer detection

... Blood tumor marker detection has been widely advocated for BC screening, diagnosis, and prognostic prediction. The widely used markers include, but are not limited to, carci- noembryonic antigen (CEA), cancer ...

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Sebaceous carcinoma of the breast: a case report

Sebaceous carcinoma of the breast: a case report

... Case presentation: An 80-year-old woman noted bloody discharge from her left nipple and palpated a lump in her left breast. Ultrasonography revealed a 19-mm mass in the left breast. Fine-needle ...

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Carcass composition of Venda indigenous scavenging chickens under village management

Carcass composition of Venda indigenous scavenging chickens under village management

... The leg muscle of the adult chickens had higher lev- els of fat and crude protein than in grower chickens. In the breast muscle no di ff erences were observed in pro- tein and fat content due to age e ff ect (P ≥ 0 ...

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Frozen Section Analysis of Breast Lumpectomy Margins

Frozen Section Analysis of Breast Lumpectomy Margins

... of breast lumpectomy mar- gins was ...with breast lump over 18 years of age undergoing breast conservation ...of mass in breast, size of mass, left or right breast ...

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