Frontiers

Automated segmentation and classification of lumbar transverse ultrasound views using a two-stage deep learning method

Ultrasound guidance is widely used in lumbar regional anesthesia and chronic pain management because it provides radiation-free, portable, and real-time visualization. Among lumbar ultrasound views, ...
GitHub

Unsupervised deep learning for semantic segmentation of multispectral LiDAR forest point clouds

1.2.2 Installing CUDA 11.3 1.2.3 Installing gcc 10 and linking to CUDA 11.3 ...
IEEE

Deep learning for ultra-large-scale semantic segmentation of geographic 3D point clouds with missing labels

Abstract: Semantic segmentation of 3D point clouds is a critical task essential for research and industry in a wide variety of domains. Mostworks until nowuse datasets where the concept of large-scale ...
Hosted on MSN

DenseNet Architecture Explained | Beginner’s Deep Learning Tutorial

Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.
Frontiers

Super-resolution microscopy and deep learning methods: what can they bring to neuroscience: from neuron to 3D spine segmentation

In recent years, advances in microscopy and the development of novel fluorescent probes have significantly improved neuronal imaging. Many neuropsychiatric disorders are characterized by alterations ...
Scientific Research Publishing

Chen, M. R. A. (2024). The AI Chatbot Interaction for Semantic Learning: A Collaborative Note-Taking Approach with EFL Students. Language Learning & Technology, 28, 1-25.

ABSTRACT: This study focuses on the difficulties faced by university students in English reading and aims to design a human-machine collaborative strategy based on generative artificial intelligence ...
IEEE

A Comparative Study of Deep Learning Semantic Segmentation Models for Kidney Segmentation in Ultrasound Images Using the Open Kidney Ultrasound Dataset

Abstract: Accurate segmentation of kidney ultrasound (KUS) images is essential for various diagnostic procedures. However, challenges such as variability in image quality and the need for real-time ...
News Medical

Deep learning method enhances vessel and plaque segmentation in stroke diagnosis

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...