Results 11 to 20 of about 7,696 (200)

A Real‐Time Mobile AI‐Assisted System for Skin Disease Prescreening: A Technical Feasibility Study [PDF]

Health Sci Rep
ABSTRACT Background and Aims Skin diseases remain a widespread health concern, particularly in areas where access to dermatological care is limited. With the growing availability of smartphones and advances in deep learning, mobile‐based image analysis offers a practical option for early‐stage screening.
Sutradhar U, Biswas P, Saha T, Hossain S, Asef M.   +4 more
europepmc   +2 more sources

CDF-YOLOv8: City Recognition System Based on Improved YOLOv8

IEEE Access
To address challenges in urban traffic management, especially detection under low exposure conditions and image quality degradation caused by weather factors, this paper proposes an urban detection algorithm based on the YOLOv8 model. Initially, The idea introduced the Chain-of-Thought Prompt Adaptive Enhancer (CPA-enhancer) to enhance image processing
P. Lu, Y. S. Jia, W. X. Zeng, P. Wei
openaire   +2 more sources

Research on mulberry leaf disease recognition method based on deep learning

Dianzi Jishu Yingyong
To improve the accuracy of mulberry leaf disease detection and enable convenient and rapid deployment of models on mobile devices, an improved version of the YOLOv8 model, named YOLOv8-Evo, is proposed to address issues such as small lesion spots and ...
Ye Hui, Xiang Donghui, Zeng Songwei
doaj   +1 more source

YOLOv8-ACU: improved YOLOv8-pose for facial acupoint detection

Frontiers in Neurorobotics
IntroductionAcupoint localization is integral to Traditional Chinese Medicine (TCM) acupuncture diagnosis and treatment. Employing intelligent detection models for recognizing facial acupoints can substantially enhance localization accuracy.MethodsThis study introduces an advancement in the YOLOv8-pose keypoint detection algorithm, tailored for facial ...
Zijian Yuan, Pengwei Shao, Jinran Li, Yinuo Wang, Zixuan Zhu, Weijie Qiu, Buqun Chen, Yan Tang, Aiqing Han   +8 more
openaire   +3 more sources

Object Detection using YOLOv8 : A Systematic Review

Sistemasi: Jurnal Sistem Informasi
This study is a Systematic Literature Review (SLR) that comprehensively reviews the recent advances in YOLOv8-based object detection models and their implementations in various application fields, such as UAV aerial photography, fruit ripeness ...
Nugraha Asthra Megantara, Ema Utami
doaj   +1 more source

At Home Detection of Ovarian Health Biomarker in Menstruation Blood

Advanced Materials Technologies, EarlyView.
A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon, Thomas Rduch, Salma Sherif Azer, Inge K. Herrmann   +3 more
wiley   +1 more source

Research of the impact of the number of epochs and dataset size on the performance of the YOLO algorithm [PDF]

Scientific Technical Review
This study investigates the influence of dataset size and the number of training epochs on the performance of YOLOv8 object detection models. Three model variants: YOLOv8s, YOLOv8m, and YOLOv8xl, were trained using five datasets of increasing size (200 ...
Zurovac Snežana, Jevremović Jelena, Miletić Ninko, Joksimović Vasilija   +3 more
doaj   +1 more source

YOLOv8-GRW:A YOLOv8-based Algorithm for Road Defect Detection

Information Technology and Control
Given the critical importance of road defect detection for ensuring vehicular safety and the inefficiencies and high costs associated with traditional detection methods, this paper introduces an enhanced road defect detection algorithm based on an improved YOLOv8-GRW model.
Ao Xu, Dong Wang, Yongjian Zhu, Du Yang, Yintian Xu   +4 more
openaire   +1 more source

AI‐Powered Framework for Evaluating Drug Efficacy for Three‐Dimensional In Vitro Cancer Models in Robot‐Assisted Production

Advanced Robotics Research, EarlyView.
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy, Jesus Nieves, Lukas Königer, Matthias Peindl, Fabio Erhard, Marc Möllmann, Anke Klingner, Markus Münig, Bibin Babu, Thomas Schwarz, Marco Metzger, Gudrun Dandekar, Maximiliane Wußmann, Jan Hansmann   +13 more
wiley   +1 more source

Lightweight coal particle group instance segmentation method based on YOLOv8

Meitan xuebao
In the foundational research field of mine gas control, a large quantity of coal particles is widely employed in various experiments. Due to the significant impact of particle size distribution on experimental results, the precise and rapid determination
Jingjing LIU, Fengqian SUN, Haoxiang ZHANG, He JIANG, Junhui CHEN, Qiqi KOU, Deqiang CHENG   +6 more
doaj   +1 more source