Breast Cancer Classification using Deep Learning-based Ensemble
نویسندگان
چکیده
منابع مشابه
ADABOOST ENSEMBLE ALGORITHMS FOR BREAST CANCER CLASSIFICATION
With an advance in technologies, different tumor features have been collected for Breast Cancer (BC) diagnosis, processing of dealing with large data set suffers some challenges which include high storage capacity and time require for accessing and processing. The objective of this paper is to classify BC based on the extracted tumor features. To extract useful information and diagnose the tumo...
متن کاملAn Ensemble Classification Model for the Diagnosis of Breast Cancer Using Stacked Generalization
Introduction: Breast cancer is one of the most common types of cancer whose incidence has increased dramatically in recent years. In order to diagnose this disease, many parameters must be taken into consideration and mistakes are possible due to human errors or environmental factors. For this reason, in recent decades, Artificial Intelligence has been used by medical practitioners to diagnose ...
متن کاملAn Ensemble Classification Model for the Diagnosis of Breast Cancer Using Stacked Generalization
Introduction: Breast cancer is one of the most common types of cancer whose incidence has increased dramatically in recent years. In order to diagnose this disease, many parameters must be taken into consideration and mistakes are possible due to human errors or environmental factors. For this reason, in recent decades, Artificial Intelligence has been used by medical practitioners to diagnose ...
متن کاملClassification of Breast Cancer Histology using Deep Learning
Breast Cancer is a major cause of death worldwide among women. Hematoxylin and Eosin (H&E) stained breast tissue samples from biopsies are observed under microscopes for the primary diagnosis of breast cancer. In this paper, we propose a deep learning-based method for classification of H&E stained breast tissue images released for BACH challenge [1] by fine-tuning Inception-v3 convolutional neu...
متن کاملBreast cancer classification using deep belief networks
Over the last decade, the ever increasing world-wide demand for early detection of breast cancer at many screening sites and hospitals has resulted in the need of new research avenues. According to theWorld Health Organization (WHO), an early detection of cancer greatly increases the chances of taking the right decision on a successful treatment plan. The Computer-Aided Diagnosis (CAD) systems ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Health Informatics and Statistics
سال: 2018
ISSN: 2465-8014,2465-8022
DOI: 10.21032/jhis.2018.43.2.140