Remote Sensing Image Segmentation for Aircraft Recognition Using U-Net as Deep Learning Architecture

F Shaar, A Yılmaz, AE Topcu, YI Alzoubi - Applied Sciences, 2024 - mdpi.com
Recognizing aircraft automatically by using satellite images has different applications in both
the civil and military sectors. However, due to the complexity and variety of the foreground …

Deep Dual-Stream Convolutional Neural Networks for Cardiac Image Semantic Segmentation

H Hu, B Fang, Y Ran, X Wei, W Xian… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Cardiac image segmentation is essential when applying biomedical informatics to improve
industrial healthcare applications. To extract context and detailed information more …

Deep-Learning-Based Source Localization Using A Local 3D Acoustic Intensity Field in A Sound-Speed Mismatched Deep-Ocean Environment

Y Qu, J Sun, J Yu, Y Tian, H Dong - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
This article proposes a deep-learning (DL) based method for accurate acoustic source
localization in the deep ocean, which leverages a local three-dimensional (3D) acoustic …

Incremental regression of localization context for automatic segmentation of ossified ligamentum flavum from CT data

R Tao, X Zou, X Gao, X Li, Z Wang, X Zhao… - International Journal of …, 2024 - Springer
Purpose Segmentation of ossified ligamentum flavum (OLF) plays a crucial role in
developing computer-assisted, image-guided systems for decompressive thoracic …

CapNet: An Automatic Attention-Based with Mixer Model for Cardiovascular Magnetic Resonance Image Segmentation

TV Pham, TN Vu, HMQ Le, VT Pham… - Journal of Imaging …, 2024 - Springer
Deep neural networks have shown excellent performance in medical image segmentation,
especially for cardiac images. Transformer-based models, though having advantages over …

A Motion-Aware DNN Model with Edge Focus Loss and Quality Control for Short-Axis Left Ventricle Segmentation of Cine MR Sequences

Y Wang, Z Sun, Z Liu, J Lu, N Zhang - Journal of Imaging Informatics in …, 2024 - Springer
Accurate segmentation of the left ventricle myocardium is the key step of automatic
assessment of cardiac function. However, the current methods mainly focus on the end …

[PDF][PDF] APPRENTISSAGE PROFOND DE VARIÉTÉS POUR UNE MEILLEURE CARACTÉRISATION DE L'HYPERTENSION ARTÉRIELLE EN IMAGERIE …

N Painchaud - savoirs.usherbrooke.ca
L'hypertension artérielle (HT) est la maladie cardiovasculaire la plus répandue dans le
monde, affectant plus de 30% des adultes dans le monde en 2019, soit 1, 28 milliard de …

[PDF][PDF] BIOMEDICAL IMAGE SEGMENTATION OF HEART DISEASE USING U-NET: A COMPREHENSIVE

SK SAHU, BV PADAMWAR, NK SWAMY - researchgate.net
Heart disease remains a leading cause of mortality worldwide, necessitating accurate and
efficient diagnostic tools. Biomedical image segmentation has emerged as a crucial …

Systems and methods for performing segmentation based on tensor inputs

B Song, NJ Witchey, A Wu, K Sbutega… - US Patent …, 2024 - Google Patents
An example system for performing segmentation of data based on tensor inputs includes
memory storing computer-executable instructions defining a learning network, where the …