Results 61 to 70 of about 17,346 (205)

From Diagnosis to Decision‐Making: AI‐Driven Triage of Oral Mucosal Lesions Detected on Intraoral Photographs

Australian Dental Journal, EarlyView.
ABSTRACT Background Managing oral mucosal lesions in general dental practice is challenging, as visually similar conditions may require very different treatments. We developed an AI‐based triage system connecting intraoral image analysis with guideline‐based treatment recommendations, tested it externally, and compared its performance with clinicians ...
Julia Schwärzler, Ekaterina Tolstaya, Antonin Tichy, Tami Yap, Michael McCullough, Yoana Malenova, David Steybe, Sven Otto, Sebastian Paris, Falk Schwendicke   +9 more
wiley   +1 more source

Intelligent Obstacle Avoidance Method for Blind Travel Based on an Improved YOLO Algorithm and Binocular Vision

Promet (Zagreb)
With the improvement of deep learning technology, traditional obstacle avoidance approaches for blind people can no longer meet practical needs. In response to the problems of poor adaptability to multiple scenarios and low obstacle avoidance rates in ...
Yan ZHUANG
doaj   +1 more source

An AI‐Driven Biomass Estimation Tool Enabling Population‐ and Specimen‐Level Variation Analyses: A Case Study on Parasitoid Flies

Entomologia Experimentalis et Applicata, EarlyView.
We present the first ecological application of InsectMorphoAI, a tool estimating curvilinear body length and body volume from two‐dimensional fly images. Applying this approach to tachinid flies from a Mediterranean forest near Rome, Italy, we quantified species composition, abundance, body size, body proportions, and biomass proxies in assemblages ...
Ascenzi Aleida, Shirali Hossein, Di Lorenzo Noemi, Nania Dario, Wührl Lorenz, Pylatiuk Christian, Meier Rudolf, Cerretti Pierfilippo   +7 more
wiley   +1 more source

Ship-detection-YOLOv8-main

<p>Ship-detection-YOLOv8-main</p ...
ktari, jalel, A. Alsharabi, Naif, frikha, tarek   +2 more
core   +1 more source

Deep Learning Models for Detection of Periapical Radiolucent Lesions on Panoramic Radiographs: A Systematic Review and Meta‐Analysis

International Endodontic Journal, EarlyView.
ABSTRACT Background Panoramic radiographs are used routinely to screen dental conditions and treatment patterns. Recently, numerous studies have suggested that deep learning (DL) models can be utilized for analysing panoramic radiographs. Objective This review aimed to evaluate the accuracy of DL models in detecting periapical radiolucent lesions (PRLs)
Ibrahim Ali Ahmad, Raidan Ba‐Hattab, Sadeq Ali Al‐Maweri, Faleh Tamimi   +3 more
wiley   +1 more source

RA-YOLOv8: An Improved YOLOv8 Seal Text Detection Method

To detect text from electronic seals that have significant background interference, blurring, text overlapping, and curving, an improved YOLOv8 model named RA-YOLOv8 was developed.
Chaohong Tan, Han Sun, Baohua Huang, Hancheng Wang, Si Pang   +4 more
core   +1 more source

Deep Learning for Assessing Caries Depth in Permanent Teeth Using Intraoral Radiographs: A Systematic Review

International Endodontic Journal, EarlyView.
ABSTRACT Background Accurate assessment of caries depth on intraoral radiographs is crucial for determining the extent of the lesion and planning appropriate treatment. Artificial intelligence (AI) models have been increasingly used for detecting and classifying carious lesions; however, the evidence focusing specifically on the classification of ...
Laith Abu Qdais, Richard Gault, Jamie Toole, Aysar Khudair, Omer Butt, Ikhlas El‐Karim   +5 more
wiley   +1 more source

A Comparison of YOLOv8 Series Performance in Student Facial Expressions Detection on Online Learning

JOIN: Jurnal Online Informatika
Student engagement in online learning is an important factor that can affect learning outcomes. One indicator of engagement is facial expression.
Dewi Tresnawati, Shopi Nurhidayanti, Nina Lestari   +2 more
doaj   +1 more source

Spectral Transforms as a Tool to Optimize Digital Phenotyping in Biological Images

Journal of Animal Breeding and Genetics, EarlyView.
ABSTRACT Modern livestock breeding has mastered genotyping. Genome‐wide association studies, genomic selection, and SNP arrays enable genetic merit prediction at lower cost. However, phenotyping remains the bottleneck, as manual measurement is slow, expensive, subjective, and unable to capture spatial or temporal trait organization. Digital phenotyping
Joseane Padilha, Jose Victor Vieira Isola, Elsio Antonio Pereira de Figueiredo   +2 more
wiley   +1 more source

Underground helmet detection algorithm based on improved YOLOv8s

Meikuang Anquan
In the process of coal mine underground operation, the safety helmet is the most direct and effective protective measure, and it is an important measure to ensure the safety of miners.
Jiaru YANG, Yinan QIN, Tianxu LI, Han ZHUANG   +3 more
doaj   +1 more source