Computer-aided Diagnosis of Stomach Images
نویسندگان
چکیده
منابع مشابه
Computer-aided Diagnosis of Pulmonary Embolism in Opacified CT Images
Pulmonary embolism (PE) is an extremely common and highly lethal con-dition that is a leading cause of death in all age groups. Over the past 10years, computed tomography (CT) scanners have gained acceptance as aminimally invasive method for diagnosing PE. In this manuscript, a frame-work for computer-aided diagnosis of PE in contrast-enhanced CT imagesis presented. It consi...
متن کاملClassification of Pneumoconiosis on HRCT Images for Computer-Aided Diagnosis
This paper describes a computer-aided diagnosis (CAD) method to classify pneumoconiosis on HRCT images. In Japan, the pneumoconiosis is divided into 4 types according to the density of nodules: Type 1 (no nodules), Type 2 (few small nodules), Type 3-a (numerous small nodules) and Type 3-b (numerous small nodules and presence of large nodules). Because most pneumoconiotic nodules are small-sized...
متن کاملA novel approach to computer-aided diagnosis of mammographic images
-This is a work-in-progress report of a research endeavor that deals with the design and development of a novel approach to computer-aided diagnosis (CAD) of mammographic images. With the initial emphasis being on the analysis of microcalcifications, the proposed approach defines a synergistic paradigm that utilizes new methodologies together with previously developed techniques. The new paradi...
متن کاملComputer-Aided Diagnosis for Acute Stroke in CT Images
The mortality rate for cerebrovascular disease is approximately ten percents in all deaths in the world (World Health Organization [WHO], 2002). The cerebrovascular disease is a major cause of disability and is one of the three leading causes of death with heart disease and malignant neoplasm in several countries, e.g. Japan (Health and Welfare Statistics Association, 2004). Acute cerebral infa...
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 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: Japanese Journal of Radiological Technology
سال: 2000
ISSN: 0369-4305,1881-4883
DOI: 10.6009/jjrt.kj00001356828