G. S. Lodwick

Publications52
h-index17
Citations1,143
Highly Influential Citations30
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  • Publications
  • Influence
A probabilistic approach to the diagnosis of bone tumors.
  • 32
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Determining growth rates of focal lesions of bone from radiographs.
Rate of growth divides focal lesions of bone into two classes which are largely mutually exclusive. Not all focal lesions require biopsy, and grading is especially helpful in deciding which should be… Expand
  • 255
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A Survey of Preprocessing and Feature Extraction Techniques for Radiographic Images
TLDR
Feature extraction is one of the more difficult steps in image pattern recognition. Expand
  • 183
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Automated radiographic diagnosis via feature extraction and classification of cardiac size and shape descriptors.
TLDR
A computer algorithm is described, designed to automatically detect, extract quantitative measurements from, and diagnose the cardiac projection present in full-size anteriorview chest radiographs. Expand
  • 63
  • 2
THE CODING OF ROENTGEN IMAGES FOR COMPUTER ANALYSIS AS APPLIED TO LUNG CANCER.
This paper will describe a concept of converting the visual images on roentgenograms into numerical sequences that can be manipulated and evaluated by the digital computer and will report the results… Expand
  • 83
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Porous-coated anatomic total hip prostheses: radiographic analysis and clinical correlation.
The radiographic changes of 46 bone-ingrowth, porous-coated anatomic total hip prostheses were reviewed and compared to the clinical outcome. The average postoperative follow-up was 32 months. The… Expand
  • 25
  • 1
On radiographic image analysis
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The computer analysis of chest radiographs
TLDR
This paper describes a program for automatically extracting lung and heart features in the digitized image of posteroanterior (PA) view chest radiographs of patients of all ages. Expand
  • 9
  • 1
The computer analysis and diagnosis of gastric ulcers.
THE VALUE of roentgenographic examination of the stomach in patients with upper gastrointestinal symptoms is well established (10, 12), and the accuracy of the roentgenologist in detecting all… Expand
  • 33
Experience with MARS (Missouri Automated Radiology System).
Since April 1970, the Department of Radiology of the University of Missouri has used an on-line computer system to record, encode, and retrieve all radiological consultations. The System has greatly… Expand
  • 27
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