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Spot-Segmentation, an essential stage of processing 2D gel electrophoresis images, remains a challenging process. The available software programs and techniques fail to separate overlapping protein spots correctly and cannot detect low intensity spots without human intervention. This paper presents an original approach to spot segmentation in 2D gel electrophoresis images. The proposed approach is...
We present here an approach for automatic mass diagnosis in mammographic images. Our strategy contains three main steps. Firstly, region of interests containing mass and background are segmented using a level set algorithm based on region information. Secondly, the characterisation of each segmented mass is obtained using the Zernike moments for modelling its shape. The final step is the diagnosis...
This paper outlines a new method for automatic detection of microcalcification clusters in mammograms. The presence of microcalcification clusters, which appear as small bright spots in mammographic images, is considered a very important sign in breast cancer diagnosis. However, such clusters can be hard to detect due to their size and low contrast from surrounding normal tissue. This work presents...
The proposed system mainly concentrates on the diagnosis of brain tumor from the CT-Scan (Computerized Tomography) brain images. This work gives the neuroradiologist a second option for the easy identification of tumor cells from the brain image. The important data mining concept that has been included in the proposed work consists of pre-processing of the CT-Scan brain image. The method used for...
A new and efficient method for casts recognition in urinary sediment microscopic images is proposed in this paper. It combines the shape and texture characteristics of casts, and accordingly, consists of two steps. In the first step, the casts' tube-like shape feature is expressed by a modified method stems from the traditional one which is based on the minimum bounding rectangle(MBR). Instead of...
The information in medical imaging is structured on multiple layers: semantic and numerical. Several algorithms for shape and color detection which can be used for numerical analysis are presented in this paper. Semantic information can be extracted from numerical information using fuzzyfication. For a correct image interpretation and a diagnosis formulation several of the objects features (shape,...
Breast cancer is the most commonly diagnosed and the second leading cause of cancer death among women. In this paper we have proposed a multi stage system for detection of microcalcification using adaptive algorithms. Conventional image processing techniques do not perform well on mammographic images. The large variation in feature size and shape reduces the effectiveness of classical fixed neighborhood...
Computer aided diagnosis systems using machine learning techniques have been developed in order to assist radiologists' diagnosis and overcome inherent limitations of conventional mammography. Such systems base their diagnosis on image features extracted from mammograms, which are mainly related to the shape, the morphology, the texture and the position of the suspicious abnormality. Since the discrimination...
This work aims at creating a structural atlas for brain MR images, which would help to solve clinical problems, faced during the training periods and can also be referred as a data set for medical diagnosis. Medical images taken as inputs are correlated with predefined atlas image for diagnosing the presence of anomalies. The images are segmented and labeled by using various techniques like thresholding,...
The classification of breast masses into benign and malignant categories plays an important role in the area of computer-aided diagnosis (CAD) of breast cancer. In this paper, one novel scheme based on multi-view information fusion is proposed, in order to improve the accuracy and the robustness of the classification and reduce the false positive rates. Five contour and shape features of the masses...
Image registrationis a preliminary component in medical image analysis, which can significantly improve radiologists' performance in detecting and characterizing the lesion. In this paper, we propose an efficient feature-based non-rigid registration approach for multiphase liver CT images. The proposed method begins with extracting corners and edges simultaneously from reference and floating images...
This paper describes a new method developed for fusion of X-ray and fluorescent molecular tomography (FMT) images. For easier diagnostics, images obtained from X-ray and FMT sources are fused to generate perceptibly informative image display using the spatial and spectral domain properties of the images. The basic premise in this research originates from the fact that in medical imaging not all the...
A method to register the expiration and inspiration breath-hold HRCT lung image volumes was presented. We considered that the deformation between the expiration and inspiration of lung can be decomposed into a global affine transformation and a local deformation. Before registration, we segmented the lung parenchyma from thoracic HRCT slices. Then, we used a prior anatomy knowledge based method to...
It is important to enhance and detect pulmonary nodules in computed tomography(CT) images in order to assist radiologists in the detection of lung cancer. Nodules which are included in medical image generally have multiple size and scale and have blob-like structure. Recently, 3D multiscale filter approach is proposed for lung nodules detection. However, the 3D method takes too much computing time...
Nowadays large populations worldwide are suffering from eye diseases such as astigmatism, myopia, and hyperopia which are caused by ophthalmologically refractive errors. This paper presents an effective approach to computer aided diagnosis of such eye diseases due to ophthalmologically refractive errors. The proposed system consists of two major steps: (1) image segmentation and geometrical feature...
To evaluate the ankle functional instability (AFI) we proposed an analysis approach using the three-dimensional shape of the ankle posture. The three-dimensional shape acquisition system are used the structured light projection technique, which is composed by the digital still camera and the DLP projector. The feature is easily to solve correspondence problem between the projection pattern and camera...
Frontal-orbital advancement is the accepted surgical treatment for correcting the cranial deformity associated with premature fusion of one of the coronal cranial sutures. Removal and reshaping of the brow and lower forehead bone is performed to correct ipsilateral frontal flattening and parietal bulging, recession of the supraorbital rim, and contralateral forehead bossing. In addition to the functional...
In image registration based on fluid model for prostate treatment, the body force that drives the deformation of the template images with only the term of intensity information may have problems in matching structure in prostate images. This paper introduces the fluid non-rigid registration combining SIFT and shape information and quantificational analysis the performance in prostate images to determine...
The classification of breast masses into benign and malignant categories plays an important role in the area of computer-aided diagnosis (CAD) of breast cancer. In this paper, in order to improve the accuracy and the robustness of the classification and reduce the false positive rates, we proposed one novel scheme that was based on information fusion in multi views. A series of contour and shape features...
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...
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