Computer-aided classification of breast cancer nuclei
نویسندگان
چکیده
منابع مشابه
Computer-aided classification of breast cancer nuclei.
Breast cancer is the most common malignancy affecting the female population in industrialized countries. Prognostic factors, such as steroid receptors visualized in biopsy slides, provide critical information to oncologists regarding the hormonal status of the individual tumors. These factors influence the choice of treatment and help in predicting patient survival and probability of recurrence...
متن کاملNuclei 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 System for Detection and Classification of Breast Cancer
Breast cancer is one of the most important causes of death among all type of cancers for grown-up and older women, mainly in developed countries, and its rate is rising. Since the cause of this disease is not yet known, early detection is the best way to decrease the breast cancer mortality. At present, early detection of breast cancer is attained by means of mammography. An intelligent compute...
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 کاملComputer-aided classification of BI-RADS category 3 breast lesions.
PURPOSE To evaluate a system for computer-aided classification (CAC) of lesions assigned to Breast Imaging Reporting and Data System (BI-RADS) category 3 at conventional mammographic interpretation. MATERIALS AND METHODS A CAC system was used to analyze 106 cases of lesions (42 malignant) that at blinded retrospective interpretation were assigned to BI-RADS category 3 by at least two of four ...
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: Technology and Health Care
سال: 1996
ISSN: 1878-7401,0928-7329
DOI: 10.3233/thc-1996-4203