Benign and malignant breast tumors classification based on region growing and CNN segmentation
- Author
- ROUHI, Rahimeh1 ; JAFARI, Mehdi2 ; KASAEI, Shohreh3 ; KESHAVARZIAN, Peiman1
[1] Department of Computer Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran, Islamic Republic of
[2] Department of Electrical Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran, Islamic Republic of
[3] Department of Computer Engineering, Sharif University of Technology, Tehran, Iran, Islamic Republic of - Source
Expert systems with applications. 2015, Vol 42, Num 3, pp 990-1002, 13 p ; ref : 3/4 p
- ISSN
- 0957-4174
- Scientific domain
- Computer science
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Artificial neural network Breast cancer Cellular neural network Genetic algorithm Region growing Segmentation
- Keyword (fr)
- Algorithme génétique Analyse donnée Apprentissage probabilités Apprentissage supervisé Base de données Cancer du sein Classification Estimation Bayes Extraction forme Femme Glande mammaire Mammographie Mortalité Réseau neuronal Spécificité Survie Système multiagent Tumeur maligne Forêt aléatoire Réseau neuronal cellulaire Segmentation image Cancer Homme
- Keyword (en)
- Genetic algorithm Data analysis Probability learning Supervised learning Database Breast cancer Classification Bayes estimation Pattern extraction Woman Mammary gland Mammography Mortality Neural network Specificity Survival Multiagent system Malignant tumor Random decision forests Cellular neural nets Image segmentation Cancer Human
- Keyword (es)
- Algoritmo genético Análisis datos Aprendizaje probabilidades Aprendizaje supervisado Base dato Cáncer del pecho Clasificación Estimación Bayes Extracción forma Mujer Glándula mamaria Mastografía Mortalidad Red neuronal Especificidad Sobrevivencia Sistema multiagente Tumor maligno Bosque aleatorio Red neuronal celular Segmentación de imágenes Cáncer Hombre
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07B Data processing. List processing. Character string processing
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks
- Pascal
- 002 Biological and medical sciences / 002B Medical sciences / 002B04 Tumors / 002B04D Animal tumors. Experimental tumors / 002B04D12 Experimental genital and mammary tumors
- Pascal
- 002 Biological and medical sciences / 002B Medical sciences / 002B20 Gynecology. Andrology. Obstetrics / 002B20E Mammary gland diseases / 002B20E02 Tumors
- Discipline
- Computer science : theoretical automation and systems Gynecology. Andrology. Obstetrics Tumours
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28928431
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.eswa.2014.09.020 
https://dx.doi.org/10.1016/j.eswa.2014.09.020
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