Articoli correlati a Biomedical Applications in Deep Learning-Enhanced Hyperspect...
Risultati della ricerca per Biomedical Applications in Deep Learning-Enhanced Hyperspect...
Foto dell'editore
Biomedical Applications in Deep Learning-Enhanced Hyperspectral Imaging
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 5 su 5 stelle
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9798337371849
Compra nuovo
EUR 221,11
Spedizione EUR 7,86
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Biomedical Applications in Deep Learning-Enhanced Hyperspectral Imaging (Paperback)
Print on DemandDa: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. Hyperspectral imaging (HSI) offers both spatial and spectral data across numerous contiguous wavelength bands, demonstrating unparalleled sensitivity in detecting small biochemical and morphological variations in biological tissues. The information content surpassing traditional visual imaging has generated novel potential in cancer diagnostics, histology, ophthalmology, endoscopy, and precision surgery. Despite its potential, the complete realization of HSI in medicine remains unfulfilled due to the complexity and high dimensionality of the data, obstacles posed by noise and variability, and the absence of standardized computing methodologies. Using deep learning techniques grounded in convolutional neural networks, recurrent and attention-based architectures, generative models, and multimodal fusion strategies may directly tackle these challenges. Biomedical Applications in Deep Learning-Enhanced Hyperspectral Imaging explores the nascent field at the convergence of deep learning and HSI aimed at enhancing biological science and clinical practice. It examines computational techniques, applications in oncology, ophthalmology, gastroenterology, microbiology, and pathology, and future perspectives on real-time implementation, portability, ethics, and regulatory approval. This book covers topics such as disease detection, medical technologies, and anomaly detection, and is a useful resource for medical and healthcare professionals, engineers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798337371849
Compra nuovo
EUR 236,10
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Biomedical Applications in Deep Learning-Enhanced Hyperspectral Imaging
Da: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo I-9798337371849
Compra nuovo
EUR 262,52
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Biomedical Applications in Deep Learning-Enhanced Hyperspectral Imaging (Paperback)
Print on DemandDa: CitiRetail, Stevenage, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. Hyperspectral imaging (HSI) offers both spatial and spectral data across numerous contiguous wavelength bands, demonstrating unparalleled sensitivity in detecting small biochemical and morphological variations in biological tissues. The information content surpassing traditional visual imaging has generated novel potential in cancer diagnostics, histology, ophthalmology, endoscopy, and precision surgery. Despite its potential, the complete realization of HSI in medicine remains unfulfilled due to the complexity and high dimensionality of the data, obstacles posed by noise and variability, and the absence of standardized computing methodologies. Using deep learning techniques grounded in convolutional neural networks, recurrent and attention-based architectures, generative models, and multimodal fusion strategies may directly tackle these challenges. Biomedical Applications in Deep Learning-Enhanced Hyperspectral Imaging explores the nascent field at the convergence of deep learning and HSI aimed at enhancing biological science and clinical practice. It examines computational techniques, applications in oncology, ophthalmology, gastroenterology, microbiology, and pathology, and future perspectives on real-time implementation, portability, ethics, and regulatory approval. This book covers topics such as disease detection, medical technologies, and anomaly detection, and is a useful resource for medical and healthcare professionals, engineers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798337371849
Compra nuovo
EUR 231,70
Spedizione EUR 43,02
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Biomedical Applications in Deep Learning-Enhanced Hyperspectral Imaging
Da: Rarewaves.com USA, London, LONDO, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: New. Codice articolo LU-9798337371849
Compra nuovo
EUR 275,24
Spedizione gratuita
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Biomedical Applications in Deep Learning-Enhanced Hyperspectral Imaging (Paperback)
Print on DemandDa: AussieBookSeller, Truganina, VIC, Australia
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. Hyperspectral imaging (HSI) offers both spatial and spectral data across numerous contiguous wavelength bands, demonstrating unparalleled sensitivity in detecting small biochemical and morphological variations in biological tissues. The information content surpassing traditional visual imaging has generated novel potential in cancer diagnostics, histology, ophthalmology, endoscopy, and precision surgery. Despite its potential, the complete realization of HSI in medicine remains unfulfilled due to the complexity and high dimensionality of the data, obstacles posed by noise and variability, and the absence of standardized computing methodologies. Using deep learning techniques grounded in convolutional neural networks, recurrent and attention-based architectures, generative models, and multimodal fusion strategies may directly tackle these challenges. Biomedical Applications in Deep Learning-Enhanced Hyperspectral Imaging explores the nascent field at the convergence of deep learning and HSI aimed at enhancing biological science and clinical practice. It examines computational techniques, applications in oncology, ophthalmology, gastroenterology, microbiology, and pathology, and future perspectives on real-time implementation, portability, ethics, and regulatory approval. This book covers topics such as disease detection, medical technologies, and anomaly detection, and is a useful resource for medical and healthcare professionals, engineers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9798337371849
Compra nuovo
EUR 305,90
Spedizione EUR 32,52
Spedito da Australia a U.S.A.
Spedito da Australia a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Biomedical Applications in Deep Learning-Enhanced Hyperspectral Imaging
Da: Rarewaves.com UK, London, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: New. Codice articolo LU-9798337371849
Compra nuovo
EUR 264,03
Spedizione EUR 75,57
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Biomedical Applications in Deep Learning-Enhanced Hyperspectral Imaging
Print on DemandDa: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Hyperspectral imaging (HSI) offers both spatial and spectral data across numerous contiguous wavelength bands, demonstrating unparalleled sensitivity in detecting small biochemical and morphological variations in biological tissues. The information content surpassing traditional visual imaging has generated novel potential in cancer diagnostics, histology, ophthalmology, endoscopy, and precision surgery. Despite its potential, the complete realization of HSI in medicine remains unfulfilled due to the complexity and high dimensionality of the data, obstacles posed by noise and variability, and the absence of standardized computing methodologies. Using deep learning techniques grounded in convolutional neural networks, recurrent and attention-based architectures, generative models, and multimodal fusion strategies may directly tackle these challenges. Biomedical Applications in Deep Learning-Enhanced Hyperspectral Imaging explores the nascent field at the convergence of deep learning and HSI aimed at enhancing biological science and clinical practice. It examines computational techniques, applications in oncology, ophthalmology, gastroenterology, microbiology, and pathology, and future perspectives on real-time implementation, portability, ethics, and regulatory approval. This book covers topics such as disease detection, medical technologies, and anomaly detection, and is a useful resource for medical and healthcare professionals, engineers, academicians, researchers, and scientists. Codice articolo 9798337371849
Compra nuovo
EUR 333,96
Spedizione EUR 42,18
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 2 disponibili
Foto dell'editore
Biomedical Applications in Deep Learning-Enhanced Hyperspectral Imaging
Da: PBShop.store US, Wood Dale, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9798337371849
Compra nuovo
EUR 23.600,04
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili