The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Early detection of lung cancer is of vital importance to successful treatment where Computed Tomography (CT) screening are considered one of the best methods for detection the early signs of lung cancer. Standard Computer Aided Diagnosis (CAD) systems for Lung cancer detection should employ four steps: preprocessing, lungs parenchyma segmentation, nodule detection and reduction of False Positives...
In this paper a method is proposed for segmenting glandular structures from Haematoxilyn and Eosin stained colon histopathology images. Gland includes three main structures: lumen, cytoplasm and cell nuclei. As the first step of the algorithm, k-means clustering algorithm is applied to cluster images to 3 clusters (lumen, cytoplasm and cell nuclei). Then, all lumen in each histopathology images are...
Prostate cancer is considered to be one of the main causes of cancer related death for men in the United States. Automated methods for prostate cancer localization based on multispectral magnetic resonance imaging (MRI) haver recently emerged as a non invasive technique for this purpose as an alternative to transrectal ultrasound. However, the automated methods developed to this date require a manual...
Acute lymphoblastic leukemia (ALL) are a group of hematological neoplasia of childhood which is characterized by a large number of lymphoid blasts in the blood stream. ALL makes around 80% of childhood leukemia and it mostly occur in the age group of 3-7. The nonspecific nature of the signs and symptoms of ALL often leads to wrong diagnosis. Diagnostic confusion is also posed due to imitation of similar...
Acute lymphoblastic leukemia (ALL) is the most common hematological neoplasia of childhood and is characterized by uncontrolled growth of leukemic cells in bone marrow, lymphoid organs etc. The nonspecific nature of the signs and symptoms of ALL often leads to wrong diagnosis. Diagnostic confusion is also posed due to imitation of similar signs by other disorders. Careful microscopic examination of...
The characterization and quantitative description of histological images is not a simple problem. To reach a final diagnosis, usually the specialist relies on the analysis of characteristics easily observed, such as cells size, shape, staining and texture, but also depends on the hidden information of tissue localization, physiological and pathological mechanisms, clinical aspects, or other etiological...
Breast cancer is the most common cancer diagnosed among U.S. women. In this paper we have done some experiments for tumor detection in digital mammogram images. First of all, we have described a method that segments the breast image automatically. As a preprocessing, we have used fuzzy based noise removal filter that removes noise. Then for segmentation, we have provided a background removal method...
Prostate cancer is one of the most frequent cancers caused in men and automated classification results which can be provided as objective references are of great significance. Here we present a study of classification of histological images of prostate based on both morphological features and textural features. At first we get two tissues of prostate cancer which including nuclei, lumen from the image,...
During the last years, many diagnostic methods have been proposed aiming at early detection of malignant melanoma tumor which is among the most frequent types of skin cancer. In this paper we discuss a new approach based on independent component analysis (ICA) for classification of pigmented skin lesions in dermatological images. Features that describe the structure of lesions, and show high discriminative...
Currently, prostate cancer diagnosis is done qualitatively by pathologists who visually analyze tissue architecture while largely ignoring gland morphology. In this study we have developed an automated image analysis scheme for grading prostate cancer by quantitatively analyzing morphological features of individual glands from digitized histological images. Following automated gland boundary segmentation...
This paper presents a SVM based computer-aided diagnosis (CAD) system for the characterization of clustered microcalcifications in digitized mammograms. First, the region of interest (ROI) in mammogram is enhanced using morphological enhancement (MORPHEN) method. Second, pixels in potential microcalcification regions are segmented out by using edge detection and morphological operations. Third, features...
This paper presents a SVM based computer-aided diagnosis (CAD) system for the characterization of clustered microcalcifications in digitized mammograms. First, the region of interest (ROI) in mammogram is enhanced using morphological enhancement (MORPHEN) method. Second, pixels in potential microcalcification regions are segmented out by using edge detection and morphological operations. Third, features...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.