Deep-Learning-Based Semantic Labeling for 2D Mammography and Comparison of Complexity for Machine Learning Tasks
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Digital Imaging"
DOI: 10.1007/s10278-019-00244-w
Abstract: Machine learning has several potential uses in medical imaging for semantic labeling of images to improve radiologist workflow and to triage studies for review. The purpose of this study was to (1) develop deep convolutional… read more here.
Keywords: machine learning; semantic labeling; breast; mammography ... See more keywords
Calibrated Focal Loss for Semantic Labeling of High-Resolution Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3197937
Abstract: Currently, the most advanced high-resolution remote sensing image (HRRSI) semantic labeling methods rely on deep neural networks. However, HRRSIs naturally have a serious class imbalance problem, which is not yet well solved by the current… read more here.
Keywords: focal loss; remote sensing; loss; semantic labeling ... See more keywords
MCFINet: Multidepth Convolution Network With Shallow-Deep Feature Integration for Semantic Labeling in Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3065039
Abstract: Semantic labeling in remote sensing images is an important and challenging technique, which has attracted increasing attention recently in earth detection, environmental protection, land utilization, and so on. However, it remains a challenge on how… read more here.
Keywords: semantic labeling; network; feature integration; remote sensing ... See more keywords
Multilevel Feature Fusion and Attention Network for High-Resolution Remote Sensing Image Semantic Labeling
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3184553
Abstract: Semantic labeling of high-resolution remote sensing images (HRRSIs) has always been an important research field in remote sensing image analysis. However, remote sensing images contain substantial low- and high-level features, which makes them quite difficult… read more here.
Keywords: network; fusion; remote sensing; feature ... See more keywords
Semantic Labeling of High-Resolution Images Using EfficientUNets and Transformers
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3268159
Abstract: Semantic segmentation necessitates approaches that learn high-level characteristics while dealing with enormous quantities of data. Convolutional neural networks (CNNs) can learn unique and adaptive features to achieve this aim. However, due to the large size… read more here.
Keywords: remote sensing; semantic labeling; high resolution; segmentation ... See more keywords
Semantic Labeling and Instance Segmentation of 3D Point Clouds Using Patch Context Analysis and Multiscale Processing
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2018.2889944
Abstract: We present a novel algorithm for semantic segmentation and labeling of 3D point clouds of indoor scenes, where objects in point clouds can have significant variations and complex configurations. Effective segmentation methods decomposing point clouds… read more here.
Keywords: point clouds; semantic labeling; segmentation; multiscale processing ... See more keywords
VC-SLAM - A Handcrafted Data Corpus for the Construction of Semantic Models
Sign Up to like & getrecommendations! Published in 2022 at "Data"
DOI: 10.3390/data7020017
Abstract: Ontology-based data management and knowledge graphs have emerged in recent years as efficient approaches for managing and utilizing diverse and large data sets. In this regard, research on algorithms for automatic semantic labeling and modeling… read more here.
Keywords: semantic labeling; ontology; slam handcrafted; labeling modeling ... See more keywords