Python
A Novel Dangerous Goods Detection Network Based on Multi-Layer Attention Mechanism in X-Ray Baggage Images
Advanced YOLO DeepSort Based System for Drainage Pipeline Defects Intelligent Detection
Automated Brain Tumor Segmentation and Classification in MRI using YOLO-based Deep Learning
Python, Deep Learning, Generative AI, Projects, Artificial Intelligence, Deep Learning, Generative AI
The aim of this research is to develop a more effective and efficient brain tumor segmentation system using the YOLOv11 architecture. The focus is on enhancing the accuracy and reliability of tumor identification in brain imaging, specifically through advanced segmentation techniques. By leveraging deep learning models, the study seeks to provide an automated solution for real-time tumor segmentation, assisting in clinical decision-making and early diagnosis.
Detecting Oil Spills at Marine Environment Using Automatic Identification System (AIS) And Satellite Datasets
Lightweight Detection Algorithm for Breast-Mass Features in Ultrasound Images
LMD_YOLO: A Lightweight and Efficient Model for Pavement Defects Detection
