Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur CX-9780750359474
Quantité disponible : 15 disponible(s)
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur CX-9780750359474
Quantité disponible : 15 disponible(s)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Etat : New. In English. N° de réf. du vendeur ria9780750359474_new
Quantité disponible : Plus de 20 disponibles
Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. N° de réf. du vendeur I-9780750359474
Quantité disponible : Plus de 20 disponibles
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Hardcover. Etat : new. Hardcover. This book presents recent advances in spectral analysis techniques for biological applications, with a strong emphasis on cancer detection, including microparticle detection in blood and urine. While metastatic cancer remains incurable, early diagnosis and appropriate treatment significantly enhance survival outcomes. The book explores modern non-invasive spectroscopic and imaging techniques such as thermal imaging, Fourier-transform infrared (FTIR) spectroscopy, photothermal spectroscopy, Raman imaging, photoacoustic microscopy and tomography, and hyperspectral imaging and highlighting their technological developments, diagnostic potential, and current challenges. It also discusses future research directions aimed at improving sensitivity, accuracy, and clinical translation. Intended for researchers, clinicians, and graduate students, this volume provides fundamental knowledge, practical insights, and awareness of emerging diagnostic approaches in cancer detection.Key FeaturesProvides a comprehensive overview of State-of-the-art spectral analysis techniques for cancer diagnosticsIncludes in-depth analysis of early cancer detection methodologiesCovers modern blood, urine, and saliva-based cancer detection approachesDiscusses current challenges and clinical translation potentialExplores future trends such as the role of deep learning in cancer diagnostics This book explores recent advances, challenges, and future perspectives of spectral analysis techniques for cancer diagnosis, emphasizing non-invasive imaging and spectroscopy. It provides foundational knowledge and insights into emerging technologies for early cancer detection. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9780750359474
Quantité disponible : 1 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Buch. Etat : Neu. Neuware - This book presents recent advances in spectral analysis techniques for biological applications, with a strong emphasis on cancer detection, including microparticle detection in blood and urine. While metastatic cancer remains incurable, early diagnosis and appropriate treatment significantly enhance survival outcomes. The book explores modern non-invasive spectroscopic and imaging techniques such as thermal imaging, Fourier-transform infrared (FTIR) spectroscopy, photothermal spectroscopy, Raman imaging, photoacoustic microscopy and tomography, and hyperspectral imaging and highlighting their technological developments, diagnostic potential, and current challenges. It also discusses future research directions aimed at improving sensitivity, accuracy, and clinical translation. Intended for researchers, clinicians, and graduate students, this volume provides fundamental knowledge, practical insights, and awareness of emerging diagnostic approaches in cancer detection.Key Features - Provides a comprehensive overview of State-of-the-art spectral analysis techniques for cancer diagnostics - Includes in-depth analysis of early cancer detection methodologies - Covers modern blood, urine, and saliva-based cancer detection approaches - Discusses current challenges and clinical translation potential - Explores future trends such as the role of deep learning in cancer diagnostics. N° de réf. du vendeur 9780750359474
Quantité disponible : 2 disponible(s)