Results 61 to 70 of about 1,376 (159)

Double‐Layer Graph Attention Networks for Parathyroid Detection

IET Computer Vision, Volume 20, Issue 1, January/December 2026.
We present a novel double‐layer graph attention networks to accomplish effective and efficient PG detection, which integrates local feature information and depth relationships tailored for PG detection in endoscopic thyroid surgery. It can robustly combat image blur and better differentiate the PG targets and background parts, thus improving the ...
Wanling Liu, Wenhuan Lu, Qian Sun, Fei Chen, Jianguo Wei, Bo Wang, Wenxin Zhao   +6 more
wiley   +1 more source

Investigating the Potential of Network Optimization for a Constrained Object Detection Problem

Journal of Imaging, 2021
Object detection models are usually trained and evaluated on highly complicated, challenging academic datasets, which results in deep networks requiring lots of computations. However, a lot of operational use-cases consist of more constrained situations:
Tanguy Ophoff, Cédric Gullentops, Kristof Van Beeck, Toon Goedemé   +3 more
doaj   +1 more source

A Robust Multi‐Oriented License Plate Detector and A Derived End‐to‐End License Plate Recognizer

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This is a research paper on license plate detection and recognition. A new center‐aware license plate detection and end‐to‐end license plate recognition framework is proposed for robust and efficient license plate detection and recognition under unconstrained scenarios.
Xudong Fan, Wei Zhao
wiley   +1 more source

SSGA‐YOLO: A Lightweight Sonar Image Object Detection Network With Efficient Convolution and Acoustic‐Aware Attention for Embedded Systems

IET Image Processing, Volume 20, Issue 1, January/December 2026.
We propose SSGA‐YOLO, an efficient underwater sonar image detector designed for deployment on embedded AI platforms. By introducing a lightweight S‐Net backbone, Efficient Group Shuffle Convolution (EGSConv) and Lightweight Shuffle‐Aware Group Attention (LSGA), our model achieves a strong balance between accuracy and efficiency, reducing parameters and
Yan Liu, Gan Yan, Tong Chen, Guanying Huo   +3 more
wiley   +1 more source

Detection and Classification of Leukocytes in Leukemia using YOLOv2 with CNN

Asian Journal of Research in Computer Science, 2021
The development of machine learning systems that used for diagnosis of chronic diseases is challenging mainly due to lack of data and difficulty of diagnosing. This paper compared between two proposed systems for computer-aided diagnosis (CAD) to detect and classify three types of white blood cells which are fundamental of an acute leukemia diagnosis ...
Adnan M. Abdulazeez, Shakir M. Abas
openaire   +2 more sources

YOLO‐O: An Improved YOLO‐Based Framework for Vehicle Detection

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This study proposes a YOLO‐O model, based on YOLOv7, for improved detection of tiny vehicles on roads. Enhancements like residual networks, Squeeze and Excitation Network (SENet), coordinate attention, and SIoU regression loss boost precision, especially for small objects.
Rabbia Mahum, Usama Irshad, Ahmed M. El‐Sherbeeny, Mohammad Shehab, Seongkwan Mark Lee   +4 more
wiley   +1 more source

FS-YOLOv2: A Dynamic Dual-Source YOLO Model for Robust Forest Smoke Detection

IEEE Access
UAV-based dual-source forest smoke detection requires accurate early warning under dynamic backgrounds, adverse weather, and potential sensor degradation.
Yalei Jia, Fansen Meng, Xufeng Yang, Jisong Zang, Minzheng Ma, Jianhui Meng   +5 more
doaj   +1 more source

Fusion of Siamese Network‐Based Sclera and Iris Detection: A Multimodal Biometrics Approach Using a Sclera Detection Tracing Algorithm

IET Information Security, Volume 2026, Issue 1, 2026.
Traditional security methods need to be improved as a result of security difficulties over time. Biometrics was introduced as a result of this. The sclera has been an area of extensive study recently as far as biometrics is concerned. This is because it is accurate; nevertheless, the application of this biometric feature has been limited by its ...
Jide Kehinde Adeniyi, Tunde Taiwo Adeniyi, Sunday Adeola Ajagbe, Precious Ikpemhinogena Ogie, Emmanuel Oluwatobi Asani, Matthew O. Adigun, Bohui Wang   +6 more
wiley   +1 more source

Automated Diagnosis of Lower Limb Alignment Deformities Using Deep Learning and Joint Orientation Analysis

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
The misalignment of the lower limbs may cause serious musculoskeletal issues when not discovered at the initial stage, but the traditional methods of diagnosis are subjective, time‐consuming, and rely on clinical experience. In solving these problems, this paper will present an automated convolutional neural network (CNN) to identify the presence of ...
Aarti Goswami, Sandeep Chaurasia, Jayesh Gangrade, Gopalakrishnan T., Mukesh Kumar   +4 more
wiley   +1 more source

Deep Learning–Based Intelligent Detection of Shield Tunnel Lining Defects: A Comprehensive Review of Image Classification, Object Detection, and Semantic Segmentation

Advances in Civil Engineering, Volume 2026, Issue 1, 2026.
Shield tunnels are crucial for urban transit systems, yet they are susceptible to defects like cracks and leaks that compromise structural integrity and safety. Traditional inspection methods are inefficient and subjective. This paper provides a comprehensive review of deep learning–based intelligent detection methods for shield tunnel lining defects ...
Decai Wang, Xiyang Hou, Kai Cheng, Zhiwei Zeng, Qunlei Zhang, Zongyuan Wu, Jiaming Yang, Jianwei Li, Qian Chen   +8 more
wiley   +1 more source