GitHub

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

We provide a Dockerfile for creating a container with the required libraries installed. To build the docker image, run the following command: docker build -t growsp ...
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 ...
GitHub

Diffusion Models for Semantic Communications

1 DM4ASC ICASSP'24 First diffusion framework for audio semantic communication as inverse problem 2 CommIN ICASSP'24 INN-guided diffusion for wireless image transmission as inverse problem 3 DiffSC ...
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.
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 ...
Scientific Research Publishing

Xie, E., Wang, W., Yu, Z., et al. (2021) SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers. 35th Conference on Neural Information Processing ...

ABSTRACT: To address the challenges of morphological irregularity and boundary ambiguity in colorectal polyp image segmentation, we propose a Dual-Decoder Pyramid Vision Transformer Network (DDPVT-Net ...
Frontiers

Multi-class segmentation of knee MRI based on hybrid attention

Accurate segmentation of knee MRI images is crucial for the diagnosis and treatment of degenerative knee disease and sports injuries. However, many existing methods are hindered by class imbalance and ...