Title from PDF title page (SPIE eBooks Website, viewed 2013-11-13).
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
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Includes bibliographical references.
CONTENTS NOTE
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Computer aided detection of colonic polyps on CT colonography / Jack Yao -- Preprocessing tools for computer aided cancer imaging systems / Artyom M. Grigoryan and Sos S. Agaian -- Multimodality imaging for tumor volume definition in radiation oncology / Issam El Naqa -- Nonlinear unsharp masking for enhancing suspicious regions in mammograms / Yicong Zhou, Sos Agaian, Karen Panetta, C.L. Philip Chen -- Skin lesion extraction based on distance histogram and color information / Yanliang Gu and Jinshan Tang -- Geometric incremental support vector machine for object detection from capsule endoscopy videos / Xiaohui Yuan, Balathasan Giritharan, Mohamed Abouelenien, Jianguo Liu, Xiaojing Yuan -- Automated melanomascreening and early detection / Xiaojing Yuan, Ning Situ, Xiaohui Yuan, George Zouridakis -- A complex wavelet-based feature extraction system for microcalcification detection in digital mammograms / Ping Zhang, Kwabena Agyepong -- Computer-aided prostate cancer diagnosis : principles, recent advances, and future prospective : a review / Clara Mosquera-Lopez, Sos Agaian, Alejandro Velez-Hoyos, and Ian Thompson -- Analysis of breast masses in mammograms using the fractal dimension and shape factors / Grazia Raguso, Antonietta Ancona, Loredana Chieppa, Samuela Labbate, Maria Luisa Pepe, Fabio Mangieri, Shantanu Banik, and Rangaraj M. Rangayyan -- Another step towards successful tomographic imaging in cancer : solution of the problem of image reconstruction / Artyom M. Grigoryan.
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SUMMARY OR ABSTRACT
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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.