Results 61 to 70 of about 15,951 (227)

Breast Masses Detection Using YOLOv8 [PDF]

Breast cancer stands as a formidable global health challenge, necessitating swift and precise diagnostic measures to combat its devastating impact. In this study, we delve into the efficacy of YOLOv8, a cutting-edge artificial intelligence model, for the
Abdul Moiz, Hannia Naseem, Hikmat Ullah, Umar Sadique, Muhammad Abeer Irfan, Amaad Khalil   +5 more
core   +4 more sources

Basket pose estimation method based on monocular vision and improved YOLOv8-pose model

Huanan Nongye Daxue xuebao
ObjectiveCurrently, the handling operation of vegetable baskets after harvesting in protected greenhouses is still dominated by manual labor, which has problems such as low efficiency and high labor intensity, seriously restricting the large-scale and ...
Lin CHEN, Zhen XU, Chunyan ZHANG, Xiaosheng JI, Songsong CHENG, Jiajun HUANG   +5 more
doaj   +1 more source

Small Object Detection Method for Bioimages Based on Improved YOLOv8n Model

Integrative Zoology, EarlyView.
This study proposes a small object detection method for bioimages based on an improved YOLOv8n model. Experimental results demonstrate that the proposed approach effectively enhances detection precision, recall, and mAP50, offering a novel solution for the technical challenges in biological microscopy research.
Xiaoyu Li, Chengrui Shang, Xian Hou, Qi Wang, Jiao Wang, Taxing Zhang, Xiangjiang Zhan, Shengkai Pan   +7 more
wiley   +1 more source

An improved pistachio detection approach using YOLO-v8 Deep Learning Models [PDF]

BIO Web of Conferences
Pistachios are an agricultural product widely used in the food industry. It is very important that pistachios are presented to the consumer in good quality on time.
Gökalp Çınarer, Mübarek Mazhar Çakır   +1 more
doaj   +1 more source

Reusing Geospatial Data of Invasive Alien Insect Species From the Literature: Significance, Challenges, and Potential

Integrative Zoology, EarlyView.
We use bibliometric analysis to evaluate geospatial data reuse for invasive alien insect species (IAIS). Of 1032 relevant publications, 51.0% lacked downloadable raw data. Integrating cross‐regional, temporal, and multi‐species data could address single‐study limitations, but data scarcity remains a barrier.
Shuhao Tan, Yiqi Xu, Qiaoling Lin, Muzi Ge, Yuting Wu, Jianshi Jin   +5 more
wiley   +1 more source

Research on an intelligent analysis system for highway abnormal events based on the YOLOv8 model

Dianzi Jishu Yingyong
Event detection systems based on video analysis have been successful in many fields, but there are still issues such as missed detections, false positives, and insufficient accuracy in the field of highway anomaly detection. To address these issues, this
Ke Weiye, Su Jicai, Qi Tengtao, Wang Guoxiang   +3 more
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

Unmanned aerial vehicle classification and detection system based on deep learning, internet of military things, and PID control system

International Journal of Applied Mathematics, Sciences, and Technology for National Defense
Indonesia is an archipelagic country situated between two continents and two oceans. With numerous islands, it is rich in natural resources but faces various military and non-military threats.
Azka Versantariqh Lesmana, Iqbal Ahmad Dahlan, Hendrana Tjahjadi, Setya Widyawan Prakosa, Muhammad Azka Firdaus   +4 more
doaj   +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

X-RayVision-Net: CBAM-Infused YOLOv8 for Rapid Pulmonary Disease Recognition

Edumatic
Tuberculosis and pneumonia continue to pose major global health challenges, particularly in regions with limited radiological resources, where overlapping chest X-ray patterns often complicate differential diagnosis.
Louis Mario Wijaya, Daniel Martomanggolo Wonohadihjojo   +1 more
doaj   +1 more source