منابع مشابه
Computer-aided dermoscopy for diagnosis of melanoma
BACKGROUND Computer-aided dermoscopy using artificial neural networks has been reported to be an accurate tool for the evaluation of pigmented skin lesions. We set out to determine the sensitivity and specificity of a computer-aided dermoscopy system for diagnosis of melanoma in Iranian patients. METHODS We studied 122 pigmented skin lesions which were referred for diagnostic evaluation or co...
متن کاملMelanoma computer-aided diagnosis: reliability and feasibility study.
BACKGROUND Differential diagnosis of melanoma from melanocytic nevi is often not straightforward. Thus, a growing interest has developed in the last decade in the automated analysis of digitized images obtained by epiluminescence microscopy techniques to assist clinicians in differentiating early melanoma from benign skin lesions. PURPOSE The aim of this study was to evaluate diagnostic accur...
متن کاملComputer-Aided Diagnosis:
Computer methodologies are being developed to assist radiologists, as second readers, in the interpretation of mammograms. This could represent further amelioration by increasing diagnostic accuracy in the screening programs. We have developed a computerized scheme to detect clustered microcalcifications in digital mammograms, using 100 mammograms that were randomly selected from the mammograph...
متن کاملComputer aided diagnosis of melanoma using Computer Vision and Machine Learning
This paper presents a computer-aided analysis of pigmented skin lesions following the ABCD guidelines used by Dermatologists. There are 3 steps to this process: image segmentation, feature analysis and machine learning. The most important and foundational step is image segmentation. In this paper we present 3 lesion segmentation algorithms: Radial Search, Region Growing Search using Flood Fill ...
متن کاملComputer-aided diagnosis for colonoscopy.
aided diagnosis (CAD) for colonoscopy is gaining increasing attention. CADallows automated detection and classification (i. e. pathological prediction) of colorectal polyps during realtime endoscopy, potentially helping endoscopists to avoid missing and mischaracterizing polyps. Although the evidence has not caught up with technological progress, CADhas the potential to improve the quality of c...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Clinical Cancer Research
سال: 2004
ISSN: 1078-0432,1557-3265
DOI: 10.1158/1078-0432.ccr-03-0039