DeepFire: A novel dataset and deep transfer learning benchmark for forest fire detection
Forest fires pose a potential threat to the ecological and environmental systems and natural
resources, impacting human lives. However, automated surveillance system for early forest …
resources, impacting human lives. However, automated surveillance system for early forest …
Deep learning based joint segmentation and characterization of multi-class retinal fluid lesions on OCT scans for clinical use in anti-VEGF therapy
Background In anti-vascular endothelial growth factor (anti-VEGF) therapy, an accurate
estimation of multi-class retinal fluid (MRF) is required for the activity prescription and …
estimation of multi-class retinal fluid (MRF) is required for the activity prescription and …
[HTML][HTML] Bioimaging of dissolvable microneedle arrays: challenges and opportunities
The emergence of microneedle arrays (MNAs) as a novel, simple, and minimally invasive
administration approach largely addresses the challenges of traditional drug delivery. In …
administration approach largely addresses the challenges of traditional drug delivery. In …
Hybrid machine-learning-based spectrum sensing and allocation with adaptive congestion-aware modeling in CR-assisted IoV networks
Unlicensed cognitive-radio (CR)-assisted Internet of Vehicles (IoV) users can access
licensed providers' radio spectrum and concurrently utilize the dedicated channel for data …
licensed providers' radio spectrum and concurrently utilize the dedicated channel for data …
Knowledge distillation driven instance segmentation for grading prostate cancer
Prostate cancer (PCa) is one of the deadliest cancers in men, and identifying cancerous
tissue patterns at an early stage can assist clinicians in timely treating the PCa spread. Many …
tissue patterns at an early stage can assist clinicians in timely treating the PCa spread. Many …
Deep learning-driven opportunistic spectrum access (OSA) framework for cognitive 5G and beyond 5G (B5G) networks
The evolving 5G and beyond 5G (B5G) wireless technologies are envisioned to provide
ubiquitous connectivity and great heterogeneity in communication infrastructure by …
ubiquitous connectivity and great heterogeneity in communication infrastructure by …
Incremental cross-domain adaptation for robust retinopathy screening via Bayesian deep learning
Retinopathy represents a group of retinal diseases that, if not treated timely, can cause
severe visual impairments or even blindness. Many researchers have developed …
severe visual impairments or even blindness. Many researchers have developed …
A deep ensemble learning-based CNN architecture for multiclass retinal fluid segmentation in oct images
Retinal Fluids (fluid collections) develop because of the accumulation of fluid in the retina,
which may be caused by several retinal disorders, and can lead to loss of vision. Optical …
which may be caused by several retinal disorders, and can lead to loss of vision. Optical …
DPF-Net: A dual-path progressive fusion network for retinal vessel segmentation
Precise segmentation of retinal vessels from fundus images is essential for intervention in
numerous diseases and is helpful in preventing and treating blindness. Deep convolutional …
numerous diseases and is helpful in preventing and treating blindness. Deep convolutional …
CDC-Net: Cascaded decoupled convolutional network for lesion-assisted detection and grading of retinopathy using optical coherence tomography (OCT) scans
Retinopathy refers to any injury in the retinal region of the eye that can lead to distorted
vision or even blindness. The segmentation of retinal lesions or biomarkers is crucial for the …
vision or even blindness. The segmentation of retinal lesions or biomarkers is crucial for the …