A Hybrid Classifier for Automated Radiologic Diagnosis: Preliminary Results and Clinical Applications

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A Hybrid Classifier for Automated Radiologic Diagnosis: Preliminary Results and Clinical Applications +  Has identifier

A Hybrid Classifier for Automated Radiologic Diagnosis: Preliminary Results and Clinical Applications +  Ksl tr id

A Hybrid Classifier for Automated Radiologic Diagnosis: Preliminary Results and Clinical Applications +  Number

A Hybrid Classifier for Automated Radiologic Diagnosis: Preliminary Results and Clinical Applications

Bibtype  techreport

Has publishing details  1990

Has title  A Hybrid Classifier for Automated Radiologic Diagnosis: Preliminary Results and Clinical Applications

Has where published  KSL-90-46

Has year  1990

Title  A Hybrid Classifier for Automated Radiologic Diagnosis: Preliminary Results and Clinical Applications

Year  1990

Abstract  We describe the design, implementation, an We describe the design, implementation, and preliminary evaluation of a computer system to aid clinicians in the interpretation of cranial magnetic-resonance (MR) images. The system classifies normal and pathologic tissues in a test set of MR scans with high accuracy. It also provides a simple, rapid means whereby an unassisted expert may reliably label an image with his best judgment of its histologic composition, yielding a gold-standard image; this step facilitates objective evaluation of classifier performance. This system consists of a preprocessing module; a semiautomatic, reliable procedure for obtaining objective estimates of an expert's opinion of an image's tissue composition; a classification module based on a combination of the maximum-likelihood (ML) classifier and the ISODATA unsupervised-clustering algorithm;and an evaluation module based on confusion-matrix generation. The algorithms for classifier evaluation and gold-standard acquisition are advances over previous methods. Furthermore, the combination of a clustering algorithm and a statistical classifier provides advantages not found in systems using either method alone. ound in systems using either method alone.

Author  Edward Herskovits +

Has author  Edward Herskovits +

Has identifier  A Hybrid Classifier for Automated Radiologic Diagnosis: Preliminary Results and Clinical Applications +

Institution  Knowledge Systems, AI Laboratory +

Ksl tr id  A Hybrid Classifier for Automated Radiologic Diagnosis: Preliminary Results and Clinical Applications +

Number  A Hybrid Classifier for Automated Radiologic Diagnosis: Preliminary Results and Clinical Applications +

Process note  YES +

Categories  KSL Technical Report +, Publication +, Technical Report +

 

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