Results 81 to 90 of about 2,448 (190)

RaBiT: An Efficient Transformer using Bidirectional Feature Pyramid Network with Reverse Attention for Colon Polyp Segmentation

, 2023
Automatic and accurate segmentation of colon polyps is essential for early diagnosis of colorectal cancer. Advanced deep learning models have shown promising results in polyp segmentation.
Oanh, Nguyen Thi, Perry, Stuart, Sang, Dinh Viet, Thuan, Nguyen Hoang, Thuy, Nguyen Thi   +4 more
core  

EfficientRDet: An EfficientDet-Based Framework for Precise Ship Detection in Remote Sensing Imagery

Remote Sensing
Detecting arbitrarily oriented ships in remote sensing images remains challenging due to diverse orientations, complex backgrounds, and scale variations, leading to a struggle in balancing detector accuracy with efficiency.
Weikang Zuo, Shenghui Fang
doaj   +1 more source

DenseNet-BiFPN-ECA Fusion Network: An Enhanced Transfer Learning Approach for Tomato Leaf Disease Recognition

Horticulturae
Early and accurate identification of tomato leaf diseases constitutes a key safeguard for mitigating economic losses in tomato production. Conventional tomato leaf disease detection methodologies are constrained by inherent limitations, such as low ...
Lina Liang, Jingnan Chen, Ying Tian, Hongyan Wang, Yiting Cai, Fenglin Zhong, Senpeng Wang, Maomao Hou, Junyang Lu   +8 more
doaj   +1 more source

Localization and Classification of Parasitic Eggs in Microscopic Images Using an EfficientDet Detector

, 2022
IPIs caused by protozoan and helminth parasites are among the most common infections in humans in LMICs. They are regarded as a severe public health concern, as they cause a wide array of potentially detrimental health conditions.
AlDahoul, Nouar, Karim, Hezerul Abdul, Kee, Shaira Limson, Tan, Myles Joshua Toledo   +3 more
core  

Advancements in Image Enhancement and Attention based efficientdet Optimization Classifier for Precise Osteosarcoma Lung Nodule Detection [PDF]

Introduction: osteosarcoma is a malignant bone tumor that frequently spreads to the lungs, hence therapy effectiveness depends on early identification. However, noise and subtle characteristics still pose a challenge for reliable Lung Nodules Detection ...
Nandhini, A, Sengaliappan, M
core   +2 more sources

An Improved YOLOv8 OBB Model for Ship Detection through Stable Diffusion Data Augmentation

Sensors
Unmanned aerial vehicles (UAVs) with cameras offer extensive monitoring capabilities and exceptional maneuverability, making them ideal for real-time ship detection and effective ship management.
Sang Feng, Yi Huang, Ning Zhang
doaj   +1 more source

AI-Enhanced Virus Detection in Biopharmaceutical Production Processes

Applied Sciences
Ensuring viral safety is a fundamental requirement in the production of biopharmaceutical products. Transmission Electron Microscopy (TEM) has long been recognized as a critical tool for detecting viral particles in unprocessed bulk (UPB) samples, yet ...
Wei He, Zhihao Xu, Ziyi Wang, Hang Lin, Li Xie, Hailin Yang   +5 more
doaj   +1 more source

A Lightweight YOLOv8-Based Network for Efficient Corn Disease Detection

Mathematics
To address the pressing need for accurate and efficient detection of corn diseases, we propose a novel, lightweight object detection framework, CBS-YOLOv8 (C2f-BiFPN-SCConv YOLOv8), which builds upon the YOLOv8 architecture to enhance performance for ...
Deao Song, Yiran Peng, Xinyuan Gu, KinTak U   +3 more
doaj   +1 more source

A BiFPN-SECA Detection Network for Foreign Objects on Top of Railway Freight Vehicles

Signal, Image and Video Processing
Abstract Foreign object detection on top of railway freight vehicles is critical to ensuring the safety and efficiency railway transportation. However, this task faces major challenges such as low accuracy and potential false positives and false negatives.
Sheng Liu, Yiqing Yang, Ting Cao, Yi Zhu
openaire   +1 more source

Optimization of Vehicle Detection at Intersections Using the YOLOv5 Model [PDF]

This study aims to analyze and evaluate the performance of the YOLOv5 model in detecting vehicles at intersections to optimize traffic flow. The methods used in this research include training the YOLOv5 model with traffic datasets collected from various ...
Huizen, Roy Rudolf, Pradipta, Gede Angga, Wiguna, I Wayan Adi Artha   +2 more
core   +2 more sources