Results 131 to 140 of about 9,112 (254)

Geographic Classification of Social Bees Using Automated Wing Pattern Analysis

open access: yesEntomologia Experimentalis et Applicata, EarlyView.
We present an end‐to‐end deep learning framework for automated geographic classification of honey bee populations based on wing morphology. A dataset of 1040 wing images from seven regions was analyzed using four CNN architectures with transfer learning.
Emine Dilara Çavuş, Cansu Özge Tozkar
wiley   +1 more source

Persistent in vitro nociceptor hyperexcitability and axonal retraction produced by repeated paclitaxel doses

open access: yesThe FEBS Journal, EarlyView.
Repeated paclitaxel exposure causes long‐lasting nociceptor hyperexcitability and axonal retraction in adult sensory neurons. Using a long‐term primary nociceptor culture, we show that hyperexcitability is mediated by sequential upregulation of NaV1.8, TRPV1, TRPA1, and TRPM8 channels.
Angela Lamberti   +3 more
wiley   +1 more source

Optimized fetal head circumference estimation in 2D ultrasound using EfficientNet-B7 and Adam optimizer. [PDF]

open access: yesBMC Pediatr
Vimala N   +6 more
europepmc   +1 more source

Iloperidone treatment mitigates the Juvenile Huntington's Disease phenotype possibly via Sigma‐1 Receptor Modulation

open access: yesThe FEBS Journal, EarlyView.
We investigated the potential of iloperidone as an activator of Sigma‐1 receptor (S1R) neuroprotective function in juvenile Huntington's disease (jHD). We tested iloperidone on cortical neurons differentiated from patient‐derived iPSCs, demonstrating that it acts as a S1R agonist, decreasing apoptosis, huntingtin aggregation, and oxidative stress ...
Ersilia Fornetti   +11 more
wiley   +1 more source

Artificial Intelligence in the Detection of Clinically Negotiable Second Mesio‐Buccal Canals in Periapical Images of Maxillary Molars

open access: yesInternational Endodontic Journal, EarlyView.
ABSTRACT Aim Artificial intelligence (AI) has the potential to aid clinicians in assessing case difficulty in endodontics. The objectives of this study were to develop and validate deep learning models for the detection of clinically negotiable MB2 canals in periapical images of maxillary first and second molars, and to compare the performance of AI ...
Seyed AmirHossein Ourang   +8 more
wiley   +1 more source

Mamba‐Based Deep Learning Model for Automated Periapical Index Classification Using Periapical Radiographs and Clinical Metadata

open access: yesInternational Endodontic Journal, EarlyView.
ABSTRACT Aim Apical periodontitis (AP) diagnosis primarily relies on periapical radiographs (PRs) and the Periapical Index (PAI) scoring system. However, existing automated approaches often simplify PAI into binary categories or ignore essential clinical metadata, limiting diagnostic performance and applicability.
Jiyun Lee   +3 more
wiley   +1 more source

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