A simple model for cell type recognition using 2D-correlation analysis of FTIR images from breast cancer tissue
نویسندگان
چکیده
منابع مشابه
a model for diagnosing breast cancerous tissue from thermal images using active contour and lyapunov exponent
background: the segmentation of cancerous areas in breast images is important for the early detection of disease. thermal imaging has advantages, such as being non-invasive, non-radiation, passive, quick, painless, inexpensive, and non-contact. imaging technique is the focus of this research. methods: the proposed model in this paper is a combination of surf and corners that are very resistant....
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Introduction: Thermography is a non-invasive imaging technique that can be used to diagnose breast cancer. In this study, a method was presented for the extraction of suitable features in dynamic thermographic images of breast. The extracted features can help classify thermographic images as cancerous or healthy. Method: In this descriptive-analytical study, the images were taken from the IC/UF...
متن کاملExtraction of Suitable Features for Breast Cancer Detection Using Dynamic Analysis of Thermographic Images
Introduction: Thermography is a non-invasive imaging technique that can be used to diagnose breast cancer. In this study, a method was presented for the extraction of suitable features in dynamic thermographic images of breast. The extracted features can help classify thermographic images as cancerous or healthy. Method: In this descriptive-analytical study, the images were taken from the IC/UF...
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در این پایان نامه نشان داده ایم که چگونه می توان مدل ریسک بیمه ای اسپیرر اندرسون را به کمک زنجیره های مارکوف تعریف کرد. سپس به کمک روش های آنالیز ماتریسی احتمال برشکستگی ، میزان مازاد در هنگام برشکستگی و میزان کسری بودجه در زمان وقوع برشکستگی را محاسبه کرده ایم. هدف ما در این پایان نامه بسیار محاسباتی و کاربردی تر از روش های است که در گذشته برای محاسبه این احتمال ارائه شده است. در ابتدا ما نشا...
15 صفحه اولDetection and Classification of Breast Cancer in Mammography Images Using Pattern Recognition Methods
Introduction: In this paper, a method is presented to classify the breast cancer masses according to new geometric features. Methods: After obtaining digital breast mammogram images from the digital database for screening mammography (DDSM), image preprocessing was performed. Then, by using image processing methods, an algorithm was developed for automatic extracting of masses from other norma...
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ژورنال
عنوان ژورنال: Journal of Molecular Structure
سال: 2018
ISSN: 0022-2860
DOI: 10.1016/j.molstruc.2018.03.044