This review critically examines clinical studies on both conventional and machine learning (ML)‐integrated diffuse optical spectroscopy and imaging methods for dermatological applications, with a primary focus on the past decade and inclusion of earlier foundational work where appropriate.
Iftak Hussain +7 more
wiley +1 more source
Collaborative representation and confidence-driven semi-supervised learning for hyperspectral image classification. [PDF]
Chen Y, Lu H, Huang X.
europepmc +1 more source
This study presents an AI‐driven approach to smart agriculture focused on early detection of crop diseases, especially fungal infections, to enhance food security. An ensemble model combining a Custom CNN for local feature extraction and a pretrained vision transformer (ViT) for global context analysis is proposed.
Kapil Arvind Chavan +5 more
wiley +1 more source
CauseHSI: Counterfactual-Augmented Domain Generalization for Hyperspectral Image Classification via Causal Disentanglement. [PDF]
Li X, Yang Z, Li W.
europepmc +1 more source
Multiscale Feature-Learning with a Unified Model for Hyperspectral Image Classification. [PDF]
Arshad T +5 more
europepmc +1 more source
Deep Learning Integration in Optical Microscopy: Advancements and Applications
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari +5 more
wiley +1 more source
Dynamic gated fusion network with hierarchical multi-scale attention for hyperspectral image classification. [PDF]
Shi X, Liu L, Bao X, Pan B, Hussain S.
europepmc +1 more source
Solar‐induced chlorophyll fluorescence (SIF) and gross primary productivity decline at midday during a short heatwave in a tower site of a larch forest. High atmospheric vapor pressure deficit significantly reduced the photochemical reflectance index (PRI), light‐use efficiency (LUE), and canopy fluorescence emission efficiency (εF).
Tomoki Morozumi +4 more
wiley +1 more source
MDF2Former: Multi-Scale Dual-Domain Feature Fusion Transformer for Hyperspectral Image Classification of Bacteria in Murine Wounds. [PDF]
Wu D +8 more
europepmc +1 more source
Semisupervised hyperspectral image classification based on generative adversarial networks and spectral angle distance. [PDF]
Zhan Y, Wang Y, Yu X.
europepmc +1 more source

