£170.17

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Biomedical Applications in Deep Learning-Enhanced Hyperspectral Imaging

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£172.50 £169.94 £170.50 £171.06 £171.61 £172.17 £172.73 26 July 2026 11 August 2026 28 August 2026 14 September 2026 01 October 2026
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Price distribution over 68 days • 4 price levels

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5 days · current 30 days 13 days 20 days 0 8 15 23 30 £170 £171 £172 £173 Days at Price

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Most common price: £171 (30 days, 44.1%)

Price range: £170 - £173

Price levels: 4 different prices over 68 days

Description

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.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
27 March 2026
Listed Since
01 April 2026

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