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 language||English (US)|
|Title of host publication||Principles and Advanced Methods in Medical Imaging and Image Analysis|
|Publisher||World Scientific Publishing Co.|
|Number of pages||26|
|State||Published - Jan 1 2008|
All Science Journal Classification (ASJC) codes