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This paper introduces an efficient detection of brain tumor from cerebral MRI images. The methodology consists of three steps: enhancement, segmentation and classification. To improve the quality of images and limit the risk of distinct regions fusion in the segmentation phase an enhancement process is applied. We adopt mathematical morphology to increase the contrast in MRI images. Then we apply...
In this paper, we present an efficient method based on mathematical morphology for segmenting microscopic breast cells images. The proposed approach consists on estimating the size cells distribution using granulometry. Drawing the spectrum will give us important information about different size distribution corresponding to the different cells present in the image. This information will be used in...
Image segmentation is an important task in medical image analysis. Automatic segmentation of ultrasound image is a difficult task as it suffers from speckle noise. This paper presents a fully automatic approach in which there is no need for the user to provide a seed point to segment the image. It proposes a new method for segmenting the fibroid in uterus. The method used in this paper uses concepts...
Cervical cancer is a preventable disease and the dysplasia it causes can be scanned by using a pap smear test. It can be beneficial to develop a computer-assisted diagnosis system to make the pap smear test robust and widespread. The most fundamental part of such a system is the segmentation of nuclei and cytoplasm in cervical cell images. The aim of this study is to segment the nuclei in such images...
This work presents a computerized lesion segmentation technique on breast ultrasound images. There were applied known techniques such as morphological filtering, Watershed transform and average radial derivative function. To evaluate the performance of the proposed method the resulting segmentation contours were compared with 36 breast US images manually delineated by two senior radiologists. Further,...
Segmenting dynamic contrast enhanced-MRI series of small animal, which are intrinsically noisy and low contrasted images with low resolution, is the aim of this paper. To do this, a segmentation method taking into account the temporal (spectral) and spatial information is presented on several series. The idea is to start from a temporal classification, and to build a probability density function of...
In this paper, we propose a new treatment for the detection of tumoral cells of breast cancer. First segmentation is processed on breast cells with the watershed mathematical morphology process. The cells are then described by a set of complete and stable invariant based on Fourier descriptors. Finally the PCA is performed to classify the cells to normal and tumoral - marked and unmarked - ones. The...
The information technology for automated morphologic analysis of the cytological slides, taken from patients with the lymphatic system tumors, was developed. The main components of the technology are: acquisition of cytological slides, method for segmentation of nuclei in the cytological slides, synthesis of the feature based nuclei description for subsequent classification, nuclei image analysis...
Breast thermography is considered particularly valuable for early breast tumors detection. The fast growing tumor has a higher metabolic rate and associated increase in local vascularization. It will cause the occurrence of some asymmetric heat patterns. Clinical interpretation of a breast thermogram is primarily based on the asymmetry analysis of these heat patterns visually and subjectively. In...
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