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Digital pathology has started to enter the field of tissue - based diagnosis. It offers several applications, especially assistance in routine surgical pathology (tissue - based diagnosis). Diagnosis assistants are programs that assist the routine diagnosis work of a pathologist. Herein we describe how to appropriate design suitable algorithms.
This paper presents a method to automatic segmentation of cervical intraepithelial neoplasia (CIN3) parabasal cervical cells from PAP Smear images. The proposed method based on the structural characteristics of cervical; the region of nucleus by using Active Contour Model (ACM). The energy function is minimized in order to correct the less gradient of image energy area; to correct the cloudy contour...
This paper discusses the needs for automated tools to aid in the diagnosis of thyroid nodules based on analysis of fine needle aspiration cytology smears. While conventional practices rely on the analysis of grey scale or RGB color images, we present a multispectral microscopy system that uses thirty-one spectral bands for analysis. Discussed are methods and results for system calibration and cell...
In clinical practice, renal cancer diagnosis is performed by manual quantifications of tumor size and enhancement, which are time consuming and show high variability. We propose a computer-assisted clinical tool to assess and classify renal tumors in contrast-enhanced CT for the management and classification of kidney tumors. The quantification of lesions used level-sets and a statistical refinement...
This research aims at finding the features that contribute to diagnose the illness as the malignant melanoma, based on the color information of images. We divide RGB space into 4096 pieces and choose the spaces including colors peculiar to malignant melanoma. By using these spaces, about 26% of images of melanoma could be taken out only by the color information. This is very useful to malignant melanoma...
The female genital tract gives rise to a wide spectrum of disease entities that are borderline abnormal on the one hand or borderline cancer on the other. While traditional criteria have been developed for the diagnosis of these lesions, based on cytological characteristics of cells and their architectural arrangements, the emerging area of morphometry (image analysis) has shown in some cases a greater...
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