Textbook in PDF format

Accurate imaging of cancerous tissue is a critical step in the fight to lower cancer mortality rates, and computer-aided detection and diagnosis (CAD) technologies play a key role. Over the last three decades, the field of diagnostic cancer imaging has witnessed a remarkable evolution that has affected virtually every aspect of research and clinical management of cancer. This book discusses recent high-quality research in key technologies used in CAD systems; the 11 chapters cover different types of cancers (including skin, breast, prostate, and colon cancer) and different scientific fields (such as biomedicine, imaging, image processing, pattern recognition, and system analysis) to further the major goals of current cancer imaging: provide more reliable disease characterization through the synthesis of anatomic, functional, and molecular imaging information; refine and optimize imaging capabilities in oncology; establish new imaging modalities and findings, and discover the potential use of these techniques; find more individualized assessment of tumor biology, personalized treatments, and response to treatment; develop image-processing-based cancer control systems; and explore imaging capabilities and strategies to streamline cancer drug development. Read more...
Computer aided detection of colonic polyps on CT colonography
Preprocessing tools for computer aided cancer imaging systems
Multimodality imaging for tumor volume definition in radiation oncology
Nonlinear unsharp masking for enhancing suspicious regions in mammograms
Skin lesion extraction based on distance histogram and color information
Geometric incremental support vector machine for object detection from capsule endoscopy videos
Automated melanomascreening and early detection
A complex wavelet-based feature extraction system for microcalcification detection in digital mammograms
Computer-aided prostate cancer diagnosis : principles, recent advances, and future prospective : a review
Analysis of breast masses in mammograms using the fractal dimension and shape factors
Another step towards successful tomographic imaging in cancer : solution of the problem of image reconstruction