Integration of hyperspectral imaging and autoencoders: Benefits, applications, hyperparameter tunning and challenges
Hyperspectral imaging (HSI) is a powerful tool that can capture and analyze a range of
spectral bands, providing unparalleled levels of precision and accuracy in data analysis …
spectral bands, providing unparalleled levels of precision and accuracy in data analysis …
Plant disease diagnosis using deep learning based on aerial hyperspectral images: A review
Plant diseases cause considerable economic loss in the global agricultural industry. A
current challenge in the agricultural industry is the development of reliable methods for …
current challenge in the agricultural industry is the development of reliable methods for …
Intelligent ultra-light deep learning model for multi-class brain tumor detection
The diagnosis and surgical resection using Magnetic Resonance (MR) images in brain
tumors is a challenging task to minimize the neurological defects after surgery owing to the …
tumors is a challenging task to minimize the neurological defects after surgery owing to the …
Imagining the future of optical microscopy: everything, everywhere, all at once
H Balasubramanian, CM Hobson, TL Chew… - Communications …, 2023 - nature.com
The optical microscope has revolutionized biology since at least the 17th Century. Since
then, it has progressed from a largely observational tool to a powerful bioanalytical platform …
then, it has progressed from a largely observational tool to a powerful bioanalytical platform …
Identification of geographical origins of Radix Paeoniae Alba using hyperspectral imaging with deep learning-based fusion approaches
Abstract The Radix Paeoniae Alba (Baishao) is a traditional Chinese medicine (TCM) with
numerous clinical and nutritional benefits. Rapid and accurate identification of the …
numerous clinical and nutritional benefits. Rapid and accurate identification of the …
Application of hyperspectral imaging for maturity and soluble solids content determination of strawberry with deep learning approaches
Z Su, C Zhang, T Yan, J Zhu, Y Zeng, X Lu… - Frontiers in Plant …, 2021 - frontiersin.org
Maturity degree and quality evaluation are important for strawberry harvest, trade, and
consumption. Deep learning has been an efficient artificial intelligence tool for food and agro …
consumption. Deep learning has been an efficient artificial intelligence tool for food and agro …
Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging
Snapshot compressive spectral imaging reconstruction aims to reconstruct three-
dimensional spatial-spectral images from a single-shot two-dimensional compressed …
dimensional spatial-spectral images from a single-shot two-dimensional compressed …
[HTML][HTML] SLIMBRAIN: Augmented reality real-time acquisition and processing system for hyperspectral classification mapping with depth information for in-vivo surgical …
Over the last two decades, augmented reality (AR) has led to the rapid development of new
interfaces in various fields of social and technological application domains. One such …
interfaces in various fields of social and technological application domains. One such …
A disjoint samples-based 3D-CNN with active transfer learning for hyperspectral image classification
Convolutional neural networks (CNNs) have been extensively studied for hyperspectral
image classification (HSIC). However, CNNs are critically attributed to a large number of …
image classification (HSIC). However, CNNs are critically attributed to a large number of …
Nondestructive phenolic compounds measurement and origin discrimination of peated barley malt using near-infrared hyperspectral imagery and machine learning
Quantifying phenolic compound in peated barley malt and discriminating its origin are
essential to maintain the aroma of high-quality Scottish whisky during the manufacturing …
essential to maintain the aroma of high-quality Scottish whisky during the manufacturing …