Published September 1993
| Version v1
Journal article
Digital radiography
Creators
- 1. Department of Radiology, Kurt Rossman Laboratories for Radiologic Image Research, University of Chicago, IL (United States)
Description
In this review, we present the current results of our schemes for computerized automated analysis that are being developed at the University of Chicago for 1) the identification of lung nodules, the assessment of interstitial disease and cardiomegaly in chest radiographs; 2) the identification of clustered microcalcifications and masses in mammography; and 3) the assessment of stenotic lesions in angiograms. (orig./MG)
Additional details
Additional titles
- Subtitle (English)
- A useful clinical tool for computer-aided diagnosis by quantitative analysis of radiographic images
Publishing Information
- Journal Title
- Acta Radiologica
- Journal Volume
- 34
- Journal Issue
- 5
- Journal Page Range
- p. 426-439.
- ISSN
- 0284-1851
- CODEN
- ACRAE3
INIS
- Country of Publication
- Sweden
- Country of Input or Organization
- Sweden
- INIS RN
- 25009867
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- BIOMEDICAL RADIOGRAPHY; BLOOD VESSELS; CHEST; DIGITAL SYSTEMS; HEART; IMAGE PROCESSING; IMAGES; LUNGS; MAMMARY GLANDS; PATIENTS; REVIEWS; X-RAY RADIOGRAPHY
- Descriptors DEC
- ANIMALS; BODY; BODY AREAS; CARDIOVASCULAR SYSTEM; DIAGNOSTIC TECHNIQUES; DOCUMENT TYPES; GLANDS; MAMMALS; MAN; MEDICINE; ORGANS; PRIMATES; RESPIRATORY SYSTEM; VERTEBRATES
Optional Information
- Contract/Grant/Project number
- Grant USPHS CA24806; Grant USPHS CA47043; Grant USPHS CA48985; Grant USPHS CA09649; Grant USPHS RR07418