Results 91 to 100 of about 3,740 (194)

Classification of Severity of Lung Parenchyma Using Saliency and Discrete Cosine Transform Energy in Computed Tomography of Patients With COVID‐19

International Journal of Telemedicine and Applications, Volume 2025, Issue 1, 2025.
This study proposes an automated system for assessing lung damage severity in coronavirus disease 2019 (COVID‐19) patients using computed tomography (CT) images. These preprocessed CT images identify the extent of pulmonary parenchyma (PP) and ground‐glass opacity and pulmonary infiltrates (GGO‐PIs).
Santiago Tello-Mijares, Francisco Flores, Fomuy Woo, Fei Hu   +3 more
wiley   +1 more source

A Surface Reading of Vladimir Nabokov

Critical Quarterly, Volume 67, Issue 1, Page 4-29, April 2025.
Aleksandra Violana
wiley   +1 more source

Research on Dynamic Graph Target Tracking Method Fusing the Color Local Entropy

ITM Web of Conferences, 2018
Focusing on the problems of target deformation, occlusion, background interference and rotation, a robust video tracking method is proposed in this paper, which is based on the superpixels and dynamic graph matching. Firstly, to make the superpixels edge
Zhang Junchang, Xia Chenyang, Hu Leili, Zhou Yanling   +3 more
doaj   +1 more source

Abstracts

Molecular Oncology, Volume 19, Issue S1, Page 1-940, June 2025.
Abstracts submitted to the ‘EACR 2025 Congress: Innovative Cancer Science’, from 16–19 June 2025 and accepted by the Congress Organising Committee are published in this Supplement of Molecular Oncology, an affiliated journal of the European Association for Cancer Research (EACR).
wiley   +1 more source

Building Extraction from UAV Images Jointly Using 6D-SLIC and Multiscale Siamese Convolutional Networks

Remote Sensing, 2019
Automatic building extraction using a single data type, either 2D remotely-sensed images or light detection and ranging 3D point clouds, remains insufficient to accurately delineate building outlines for automatic mapping, despite active research in this
Haiqing He, Junchao Zhou, Min Chen, Ting Chen, Dajun Li, Penggen Cheng   +5 more
doaj   +1 more source

Fast Obstacle Detection for Monocular Autonomous Mobile Robots

SICE Journal of Control, Measurement, and System Integration, 2017
This paper proposes a monocular vision based obstacle detection algorithm for autonomous mobile robots. Our main algorithm consists of two stages. In the first stage, we use an inverse perspective mapping (IPM) based method for detecting small portions ...
Naoshi Kaneko, Takeshi Yoshida, Kazuhiko Sumi   +2 more
doaj   +1 more source

SLIC Superpixel-Based l_2,1-Norm Robust Principal Component Analysis for Hyperspectral Image Classification

Sensors, 2019
Hyperspectral Images (HSIs) contain enriched information due to the presence of various bands, which have gained attention for the past few decades. However, explosive growth in HSIs’ scale and dimensions causes “Curse of dimensionality„
Baokai Zu, Kewen Xia, Tiejun Li, Ziping He, Yafang Li, Jingzhong Hou, Wei Du   +6 more
doaj   +1 more source

Research on Fine Water Body Extraction From SAR Images Based on Superpixel Segmentation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The water body extraction technology based on superpixel segmentation in SAR images faces challenges such as insufficient precision in extracting fine water boundaries under speckle noise and complex scattering conditions.
Fengcheng Guo, Xiaoxiao Ma, Ning Sun, Lianpeng Zhang, Wensong Liu   +4 more
doaj   +1 more source

Corrections to “Underground Defects Detection Based on GPR by Fusing Simple Linear Iterative Clustering Phash (SLIC-Phash) and Convolutional Block Attention Module (CBAM)-YOLOv8”

IEEE Access
In the above article [1], inaccuracies are present in the naming and corresponding explanation of a concept. Upon careful review and analysis, we have identified inaccuracies in the definition and naming of a specific concept within the article. During the training process, we explored various module optimizations.
Niannian Wang, Zexi Zhang, Haobang Hu, Bin Li, Jianwei Lei   +4 more
openaire   +1 more source

Joined Spatial and Spectral Segmentation of Hyperspectral Datasets on Historical Art Objects

IEEE Access
In the context of clustering and classification, the choice between spatial and spectral features hinges on data characteristics and analytical goals.
Lingxi Liu, Aurore Malmert, Emeline Pouyet, Silvia Mirri, Giovanni Delnevo   +4 more
doaj   +1 more source