Download the fantastic book titled Lung Imaging and Computer Aided Diagnosis written by Ayman El-Baz, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Lung Imaging and Computer Aided Diagnosis", which was released on 23 August 2011. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Medical genre.
Summary of Lung Imaging and Computer Aided Diagnosis by Ayman El-Baz PDF
Lung cancer remains the leading cause of cancer-related deaths worldwide. Early diagnosis can improve the effectiveness of treatment and increase a patient’s chances of survival. Thus, there is an urgent need for new technology to diagnose small, malignant lung nodules early as well as large nodules located away from large diameter airways because the current technology—namely, needle biopsy and bronchoscopy—fail to diagnose those cases. However, the analysis of small, indeterminate lung masses is fraught with many technical difficulties. Often patients must be followed for years with serial CT scans in order to establish a diagnosis, but inter-scan variability, slice selection artifacts, differences in degree of inspiration, and scan angles can make comparing serial scans unreliable. Lung Imaging and Computer Aided Diagnosis brings together researchers in pulmonary image analysis to present state-of-the-art image processing techniques for detecting and diagnosing lung cancer at an early stage. The book addresses variables and discrepancies in scans and proposes ways of evaluating small lung masses more consistently to allow for more accurate measurement of growth rates and analysis of shape and appearance of the detected lung nodules. Dealing with all aspects of image analysis of the data, this book examines: Lung segmentation Nodule segmentation Vessels segmentation Airways segmentation Lung registration Detection of lung nodules Diagnosis of detected lung nodules Shape and appearance analysis of lung nodules Contributors also explore the effective use of these methodologies for diagnosis and therapy in clinical applications. Arguably the first book of its kind to address and evaluate image-based diagnostic approaches for the early diagnosis of lung cancer, Lung Imaging and Computer Aided Diagnosis constitutes a valuable resource for biomedical engineers, researchers, and clinicians in lung disease imaging.
Detail About Lung Imaging and Computer Aided Diagnosis PDF
- Author : Ayman El-Baz
- Publisher : CRC Press
- Genre : Medical
- Total Pages : 483 pages
- ISBN : 1439845573
- Release Date : 23 August 2011
- PDF File Size : 41,7 Mb
- Language : English
- Rating : 4/5 from 21 reviews
Clicking on the GET BOOK button will initiate the downloading process of Lung Imaging and Computer Aided Diagnosis by Ayman El-Baz. This book is available in ePub and PDF format with a single click unlimited downloads.