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

Network in Network (NiN) Explained – Deep Neural Network Tutorial with PyTorch

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...
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 ...
Oak Ridge National Lab

Deep Point Cloud Building Envelope Segmentation (DeeP-CuBES) using Deep Learning...

Building Information Modeling (BIM) plays an important role in building design and construction, particularly for achieving energy-efficient retrofits. Building envelope retrofits using panelized ...
Scientific Research Publishing

From U-Net to Swin-Unet Transformers: The Next-Generation Advances in Brain Tumor Segmentation with Deep Learning ()

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...
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 ...