Multiclass classification for tissue characterization

Research output: Chapter in Book/Report/Conference proceedingChapter


Computer aided diagnostic applications such as cancer detection may require a binary classification into benign and malignant classes. However, there are many medical imaging applications requiring multiclass classifications to categorize image data into more than two classes for tissue or pathology characterization. This chapter provides an introduction of some of the approaches such as Bayesian classification, support vector machine, and neuro-fuzzy systems that can be applied in multiclass classification.

Original languageEnglish (US)
Title of host publicationPrinciples and Advanced Methods in Medical Imaging and Image Analysis
PublisherWorld Scientific Publishing Co.
Number of pages26
ISBN (Electronic)9789812814807
ISBN (Print)9789812705341
StatePublished - Jan 1 2008

All Science Journal Classification (ASJC) codes

  • General Medicine


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