Bgf-yolo: Enhanced yolov8 with multiscale attentional feature fusion for brain tumor detection
Abstract You Only Look Once (YOLO)-based object detectors have shown remarkable
accuracy for automated brain tumor detection. In this paper, we develop a novel BGF-YOLO …
accuracy for automated brain tumor detection. In this paper, we develop a novel BGF-YOLO …
Computer vision algorithms in healthcare: Recent advancements and future challenges
Computer vision has emerged as a promising technology with numerous applications in
healthcare. This systematic review provides an overview of advancements and challenges …
healthcare. This systematic review provides an overview of advancements and challenges …
[HTML][HTML] A novel real-time detection and classification method for ECG signal images based on deep learning
L Ma, F Zhang - Sensors, 2024 - mdpi.com
In this paper, a novel deep learning method Mamba-RAYOLO is presented, which can
improve detection and classification in the processing and analysis of ECG images in real …
improve detection and classification in the processing and analysis of ECG images in real …
Nearshore optical video object detector based on temporal branch and spatial feature enhancement
The computing power of nearshore and ship-borne devices is limited, posing significant
challenges for accurately detecting objects in real-time on such devices. We propose a …
challenges for accurately detecting objects in real-time on such devices. We propose a …
[HTML][HTML] Accessible AI Diagnostics and Lightweight Brain Tumor Detection on Medical Edge Devices
The timely and accurate detection of brain tumors is crucial for effective medical intervention,
especially in resource-constrained settings. This study proposes a lightweight and efficient …
especially in resource-constrained settings. This study proposes a lightweight and efficient …
Enhancing brain tumor detection in MRI images using YOLO-NeuroBoost model
A Chen, D Lin, Q Gao - Frontiers in Neurology, 2024 - frontiersin.org
Brain tumors are diseases characterized by abnormal cell growth within or around brain
tissues, including various types such as benign and malignant tumors. However, there is …
tissues, including various types such as benign and malignant tumors. However, there is …
Lsm-yolo: A compact and effective roi detector for medical detection
Z Yu, Q Guan, J Yang, Z Yang, Q Zhou, Y Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
In existing medical Region of Interest (ROI) detection, there lacks an algorithm that can
simultaneously satisfy both real-time performance and accuracy, not meeting the growing …
simultaneously satisfy both real-time performance and accuracy, not meeting the growing …
Real-time medical lesion screening: Accurate and rapid detectors
D Shao, J Jiang, L Ma, H Lai, S Yi - Journal of Real-Time Image …, 2024 - Springer
Brain tumors are highly lethal, representing 85–90% of all primary central nervous system
(CNS) tumors. Magnetic resonance imaging (MRI) images are employed to identify and …
(CNS) tumors. Magnetic resonance imaging (MRI) images are employed to identify and …
SOD-YOLO: A High-Precision Detection of Small Targets on High-Voltage Transmission Lines
K Wu, Y Chen, Y Lu, Z Yang, J Yuan, E Zheng - Electronics, 2024 - mdpi.com
Wire clamps and vibration-proof hammers are key components of high-voltage transmission
lines. The wire clips and vibration-proof hammers detected in Unmanned Aerial Vehicle …
lines. The wire clips and vibration-proof hammers detected in Unmanned Aerial Vehicle …
[HTML][HTML] An efficient YOLO for ship detection in SAR images via channel shuffled reparameterized convolution blocks and dynamic head
C Yu, Y Shin - ICT Express, 2024 - Elsevier
Synthetic aperture radar (SAR) is a crucial active imaging technology in remote sensing,
offering valuable information for applications like climate monitoring, environmental …
offering valuable information for applications like climate monitoring, environmental …