Computer-aided breast cancer diagnosis based on image segmentation and interval analysis
نویسندگان
چکیده
منابع مشابه
Nuclei segmentation for computer-aided diagnosis of breast cancer
Breast cancer is the most common cancer among women. The effectiveness of treatment depends on early detection of the disease. Computer-aided diagnosis plays an increasingly important role in this field. Particularly, digital pathology has recently become of interest to a growing number of scientists. This work reports on advances in computer-aided breast cancer diagnosis based on the analysis ...
متن کاملComputer-aided Diagnosis of Breast Cancer Using Gaussian Mixture Cytological Image Segmentation
This paper presents an automatic computer system to breast cancer diagnosis. System was designed to distinguish benign from malignant tumors based on fine needle biopsy microscope images. Studies conducted focus on two different problems, the first concern the extraction of morphometric and colorimetric parameters of nuclei from cytological images and the other concentrate on breast cancer clas...
متن کاملBreast Cancer Computer Aided Diagnosis (cad) System
Breast cancer is the most common cancer in the world and the most common cause of cancer death in women. Treatment of breast cancer is currently effective only if it is detect at an early stage. X-ray mammography is the most effective method for early detection .In this paper authors have propose Computer Aided Diagnosis (CAD) System for breast cancer using mammography images. Moreover ,authors...
متن کاملCT Image Based Computer-Aided Lung Cancer Diagnosis
An early stage detection of lung cancer is extremely important for survival rate and quality of life (QOL) of patients (Naruke et al., 1988). Although a nationwide periodical group medical examination is conducted in Japan by diagnosing chest X-ray images, such group examination is not often good enough to detect the lung cancer accurately and thus there is a high possibility that the cancer at...
متن کاملReliable Computer-aided Diagnosis System using Region based Segmentation of Mammographic Breast Cancer Images
Breast cancer is the most common type of cancer with women are affected in the world. Mammography is regarded as an effective tool for early detection and diagnosis of breast cancer. The most common breast abnormalities that may indicate breast cancer are masses and micro-calcifications or calcifications. The abnormalities present in breast images are characterized by an extensive range of feat...
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: Automatika
سال: 2020
ISSN: 0005-1144,1848-3380
DOI: 10.1080/00051144.2020.1785784