ARPM-net: A novel CNN-based adversarial method with Markov Random Field enhancement for prostate and organs at risk segmentation in pelvic CT images
Sign Up to like & getrecommendations! Published in 2020 at "Medical physics"
DOI: 10.1002/mp.14580
Abstract: PURPOSE The research is to develop a novel CNN-based adversarial deep learning method to improve and expedite the multi-organ semantic segmentation of CT images and to generate accurate contours on pelvic CT images. METHODS Planning… read more here.
Keywords: arpm net; segmentation; pelvic images; method ... See more keywords
A segmentation network for enhancing autonomous driving scene understanding using skip connection and adaptive weighting
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-20592-8
Abstract: With the rapid development of autonomous driving technology, accurate and efficient scene understanding has become particularly important. Semantic segmentation technology for autonomous driving aims to accurately identify and segment elements such as roads, sidewalks, and… read more here.
Keywords: segmentation; segmentation network; skip connection; scene understanding ... See more keywords
An FCN-based segmentation network for fine linear crack detection and measurement in metals
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Structural Integrity"
DOI: 10.1108/ijsi-09-2024-0160
Abstract: PurposeThis paper aims to enhance the detection accuracy of fine linear fatigue cracks in aero-engine metallic components by developing an image enhancement and segmentation technique.Design/methodology/approachA dataset of fine linear fatigue cracks was constructed using image… read more here.
Keywords: detection; segmentation; crack; fine linear ... See more keywords
ESSN: Enhanced Semantic Segmentation Network by Residual Concatenation of Feature Maps
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2969442
Abstract: Semantic segmentation performs pixel-level classification of multiple classes in the input image. Previous studies on semantic segmentation have used various methods such as multi-scale image, encoder-decoder, attention, spatial pyramid pooling, conditional random field, and generative… read more here.
Keywords: segmentation network; semantic segmentation; feature maps; segmentation ... See more keywords
Multi-Scale Time Series Segmentation Network Based on Eddy Current Testing for Detecting Surface Metal Defects
Sign Up to like & getrecommendations! Published in 2025 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2025.125117
Abstract: In high-risk industrial environments like nuclear power plants, precise defect identification and localization are essential for maintaining production stability and safety. However, the complexity of such a harsh environment leads to significant variations in the… read more here.
Keywords: time series; segmentation network; series segmentation; network ... See more keywords
MTL-ABS3Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3153406
Abstract: Organ segmentation is one of the most important step for various medical image analysis tasks. Recently, semi-supervised learning (SSL) has attracted much attentions by reducing labeling cost. However, most of the existing SSLs neglected the… read more here.
Keywords: semi supervised; task learning; segmentation; multi task ... See more keywords
Uncertainty-Guided Segmentation Network for Geospatial Object Segmentation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3361693
Abstract: Geospatial objects pose significant challenges, including dense distribution, substantial interclass variations, and minimal intraclass variations. These complexities make achieving precise foreground object segmentation in high-resolution remote sensing images highly challenging. Current segmentation approaches often rely… read more here.
Keywords: segmentation; guided segmentation; object segmentation; uncertainty ... See more keywords
HyCloudX: A Multibranch Hybrid Segmentation Network With Band Fusion for Cloud/Shadow
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3374233
Abstract: Semantic segmentation of cloud and shadow is an important task in remote sensing and atmospheric science. However, the complexity of cloud/shadow shapes, and noise disturbances (such as snow and ice, buildings, complex backgrounds, and atmospheric… read more here.
Keywords: cloud shadow; segmentation; fusion; network ... See more keywords
URS: An Unsupervised Radargram Segmentation Network Based on Self-Supervised ViT With Contrastive Feature Learning Framework
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3447879
Abstract: Radar sounders are air and space-borne nadir-looking sensors operating in high-frequency (HF) or very high-frequency (VHF) bands and collect subsurface backscattered returns by transmitting electromagnetic pulses. The backscatter echoes are coherently integrated to generate radargrams… read more here.
Keywords: unsupervised radargram; segmentation; radargram segmentation; network ... See more keywords
Detailed PV Monitor: A Highly Generalized Photovoltaic Panels Segmentation Network Integrating Context-Aware and Deep Feature Reconstruction
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3558471
Abstract: The urgency of global climate change has driven the rapid expansion of photovoltaic (PV) energy systems. However, accurately identifying PV panels remains a major challenge due to complex environmental backgrounds, spectral confusion, and the lack… read more here.
Keywords: segmentation; reconstruction; context aware; deep feature ... See more keywords
DSSNet: A Simple Dilated Semantic Segmentation Network for Hyperspectral Imagery Classification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2960528
Abstract: Deep learning-based methods have presented a promising performance in the task of hyperspectral imagery classification (HSIC). However, recent methods usually are considered HSIC as a patchwise image classification problem and addressed it by giving a… read more here.
Keywords: hyperspectral imagery; classification; segmentation network; semantic segmentation ... See more keywords