Multiclass classification for tissue characterization

Document Type

Syllabus

Publication Date

1-1-2008

Abstract

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.

Identifier

84969677614 (Scopus)

ISBN

[9789812705341, 9789812814807]

Publication Title

Principles and Advanced Methods in Medical Imaging and Image Analysis

External Full Text Location

https://doi.org/10.1142/9789812814807_0019

First Page

455

Last Page

480

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