{"product_id":"lung-imaging-and-computer-aided-diagnosis-hardback","title":"Lung Imaging and Computer Aided Diagnosis - Hardback","description":"\u003cp\u003eLung 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.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eLung Imaging and Computer Aided Diagnosis\u003c\/strong\u003e 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.\u003c\/p\u003e\u003cp\u003eDealing with all aspects of image analysis of the data, this book examines: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eLung segmentation\u003c\/li\u003e \u003cli\u003eNodule segmentation\u003c\/li\u003e \u003cli\u003eVessels segmentation\u003c\/li\u003e \u003cli\u003eAirways segmentation\u003c\/li\u003e \u003cli\u003eLung registration\u003c\/li\u003e \u003cli\u003eDetection of lung nodules\u003c\/li\u003e \u003cli\u003eDiagnosis of detected lung nodules\u003c\/li\u003e \u003cli\u003eShape and appearance analysis of lung nodules\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eContributors 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, \u003cstrong\u003eLung Imaging and Computer Aided Diagnosis\u003c\/strong\u003e constitutes a valuable resource for biomedical engineers, researchers, and clinicians in lung disease imaging.\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":45584082534638,"sku":"9781439845578","price":420.0,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0630\/9612\/7726\/files\/9781439845578.jpg?v=1721106398","url":"https:\/\/bookland.com.au\/products\/lung-imaging-and-computer-aided-diagnosis-hardback","provider":"Book Land AU","version":"1.0","type":"link"}