Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
A novel interactive segmentation method based on distance metric learning is proposed for segmentation of tumors in CT and MRI images. Firstly, the moments of the gray-level histogram are extracted as the image features for segmentation. Then, Neighborhood Components Analysis is employed to learn a task-specific distance metric in the feature space using the interactive inputs. The probability of...
The descriptive power of low-level image features for describing the high-level semantic concepts is limited for content-based image retrieval (CBIR). To reduce this semantic gap and improve retrieval performance of CBIR, a distance metric learning method is proposed which can learn a linear projection to define a distance metric for maximizing mean average precision (MAP). The smooth approximation...
Age-related macular degeneration (AMD) with the complication of choroidal neovascularization (CNV) has been the major cause of severe, irreversible vision loss in many developed countries. The imaging modality that is commonly used to reveal the vascular abnormalities of CNV is fluorescein angiography (FA). Analysis and interpretation of FA sequences are largely performed by skilled observers on single...
Gastroscopy is important tool for the clinical examination of gastric diseases, and the abnormality detection on the gastroscopic images will help physicians to diagnose. An improved patches assembled by local weights is presented in this paper. First, a series of classifiers on image patches with different sizes have been analyzed to find the suitable size. The boosted stumps are employed as the...
Gastroscope is important in gastric cancer diagnosis. However, the specular reflection is common existed in the gastroscope images and it's easily confused with ulcer. In this paper we develop a method for detecting specular reflection in gastroscopic images. First the Intensity-Saturation joint distribution of region of interest (ROI) is obtained in HSI color space. Then based on the analysis of...
Gastroscopy is widely used for the clinical examination of gastric diseases. The computerized methods capable to detect abnormal regions can help the physicians to identify the suspicious regions in gastroscopic images. The patch-based technique with the boosted stumps is adopted to detect all kinds of abnormalities in this paper. Considering that the responses of patch classifiers on the neighboring...
In this paper, we present a method to automatically extract the vessel segments and construct the vascular tree with anatomical realism from a color retinal image. The significance of the work is to assist in clinical studies of diagnosis of cardio-vascular diseases, such as hypertension,which manifest abnormalities in either venous and/or arterial vascular systems. To maximize the completeness of...
Non-rigid registration between CT and ultrasound images is a difficult task due to the low resolution and contrast of ultrasound images. We present a method incorporating the shape information of contours extracted from the image pairs for the registration. Firstly, the shapes are represented by the automatically detected landmarks along the contour of segmented object on CT and ultrasound images...
Malignant and benign breast tumors have different shape characteristics associated with their growth ways on sonography. Through analyzing the tumor shape pattern on the clinical images and the experimental results, we find that the tumor shape can be characterized on three aspects: convexity, ellipticity, and symmetry. In this paper, the shape measures are quantified using the polygonal approximation,...
In this paper, we proposed a new speckle suppression method for medical ultrasound images based on contourlet transform. Modeling the speckle with Rayleigh distribution in logarithmically transformed ultrasound images, a maximum a posterior (MAP) estimator is applied for speckle reduction via manipulating the coefficients in contourlet domain. Experimental results show that while effectively suppress...
A novel framework for automatic segmentation of rat mammary glands in MRI image sequences is presented in this paper. The Cartoon-Texture model is utilized in serial image segmentation to decompose the image into cartoon image and texture image. Then two-phase direct energy segmentation based on Chan-Vese active contour model is implemented on the cartoon image to partition the image into a set of...
Bioluminescence tomography (BLT) is a novel in vivo technique which may reveal the molecular and cellular activity at the whole-body level in small animal studies. In order to reconstruct bioluminescence sources accurately, it is necessary to incorporate all types of a priori information available and develop novel reconstruction algorithms. In this paper, a multi-scale method is proposed for BLT...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.