Computerized nipple identification for multiple image analysis in computer-aided diagnosis
نویسندگان
چکیده
منابع مشابه
Computer Aided Diagnosis - Medical Image Analysis Techniques
Breast cancer is the second leading cause of death among women worldwide. Mammography is the basic tool available for screening to find the abnormality at the earliest. It is shown to be effective in reducing mortality rates caused by breast cancer. Mammograms produced by low radiation X-ray are difficult to interpret, especially in screening context. The sensitivity of screening depends on ima...
متن کاملMultiple Instance Learning for Computer Aided Diagnosis
Many computer aided diagnosis (CAD) problems can be best modelled as a multiple-instance learning (MIL) problem with unbalanced data: i.e. , the training data typically consists of a few positive bags, and a very large number of negative instances. Existing MIL algorithms are much too computationally expensive for these datasets. We describe CH, a framework for learning a Convex Hull representa...
متن کاملComputerized Analysis of Medical Images : Important Issues and Challenges for Computer - Aided Detection and Diagnosis —
1 From the Dept of Radiology, Vanderbilt Univ Medical Ctr, RR-1223, MCN, 1161 21st Ave South, Nashville, TN 37232-2675 (C.L.P.); Dept of Radiology, Univ of Michigan Health Systems, Ann Arbor (H.P.C.); Dept of Radiology, Univ of Texas M.D. Anderson Cancer Ctr, Houston (J.G.G.); Dept of Radiology, Univ of Chicago, Ill (M.L.G.); Dept of Radiology, Duke Univ Medical Ctr, Durham, NC (J.A.I.); Dept o...
متن کاملLearning Image Context for Improved Computer Aided Diagnosis
Contextual information can often be exploited for improving assisted search and automatic target recognition ATR Previously we re ported on the development of hierarchical pyra mid neural network HPNN algorithms for automatically learning and integrating context for target detection demonstrating the appli cation of these algorithms to the problem of building detection in satellite imagery Spen...
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: Medical Physics
سال: 2004
ISSN: 0094-2405
DOI: 10.1118/1.1800713