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

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 ...
Frontiers

Image-text guided fundus vessel segmentation via attention mechanism and gated residual learning

Background: Fundus vessel segmentation is crucial for the early diagnosis of ocular diseases. However, existing deep learning-based methods, although effective for detecting coarse vessels, still face ...
Frontiers

Multi-interactive feature embedding learning for medical image segmentation

1 School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China 2 School of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, ...
Scientific Research Publishing

Assessing the Role of Multi-Resolution Remote Sensing in Monitoring Urban Growth and Environmental Change in Rapidly Urbanizing Regions ()

1 Uluslararası Coğrafi Mekansal Zeka Araştırmaları Derneği, Ankara, Türkiye. 2 Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, USA. 3 Faculty of Engineering, Çankaya ...
Scientific Research Publishing

Hatamizadeh, A., Nath, V., Tang, Y., Yang, D., Roth, H.R. and Xu, D. (2022) Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images. arXiv: 2201. ...

ABSTRACT: 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 ...
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 ...
GitHub

Virtual Video Device for Background Replacement with Deep Semantic Segmentation

In these modern times where everyone is sitting at home and skype-ing/zoom-ing/webrtc-ing all the time, I was a bit annoyed about always showing my messy home office ...