It is very common for radiologists, looking at a medical image (MI) to make quick circles around any abnormality for diagnosis or segmentation purposes. However automatic segmentation of region of interest (ROI) is an increasing research field for both compression and computer aided diagnosis. This book introduces modified methods for biomedical image processing, telemedicine, and archiving. The proposed automatic segmentation method uses an introduced artificial neural network and a modified fuzzy technique; whereas in coding it uses a modified arithmetic encoder. Moreover, based on the important observation that large wavelet coefficients are much more important than small wavelet coefficients, a fast and reduced bit embedded zerotree wavelet (FEZW) algorithm is applied. This FEZW aims to reduce the transmission time and storage space of images in low bandwidth environments. Several magnetic resonance brain images and fluorescene ophthalmic images are used to validate these proposed techniques.The book is organized in nine chapters.