The computer-aided diagnosis of soft-tissue tumors using sonographic morphology and texture features

Hong Jen Chiou*, Chih Yen Chen, Yi Hong Chou, Huihua Kenny Chiang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

Computer-aided diagnosis (CAD) is based on shape and echogenicity of tumors and is used to extract relevant information. The various steps of the general CAD algorithm for tumor diagnosis are discussed in this chapter. A CAD system that integrates these features has been proved to be capable of assisting radiologists in the diagnosis of soft-tissue tumors on sonography. Thus, in the characterization of benign and malignant soft-tissue tumors, the CAD system successfully implements the classification using two types of feature sets, including morphological and texture features. Notably, the performance of the morphological features seems to be more relevant in the determination of the tumor status. Nevertheless, both morphological and texture features remain the most important properties while visually interpreting soft-tissue tumors.

Original languageEnglish
Title of host publicationDermatologic Ultrasound with Clinical and Histologic Correlations
PublisherSpringer New York
Pages177-181
Number of pages5
ISBN (Electronic)9781461471844
ISBN (Print)9781461471837
DOIs
StatePublished - 1 Jan 2013

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