Results 21 to 30 of about 3,447,355 (412)

LAND COVER CHANGE DETECTION USING SALIENCY ANDWAVELET TRANSFORMATION [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
How to obtain accurate difference map remains an open challenge in change detection. To tackle this problem, we propose a change detection method based on saliency detection and wavelet transformation. We do frequency-tuned saliency detection in initial
H. Zhang   +4 more
doaj   +1 more source

Auto Diagnostics of Lung Nodules Using Minimal Characteristics Extraction Technique

open access: yesDiagnostics, 2016
Computer-aided detection (CAD) systems provide useful tools and an advantageous process to physicians aiming to detect lung nodules. This paper develops a method composed of four processes for lung nodule detection.
Diego M. Peña   +2 more
doaj   +1 more source

Why Questions on Time-Aware Spatial Keyword Queries in Traffic Networks

open access: yesIEEE Access, 2022
Time-aware spatial keyword queries in traffic networks ( $TSKQT$ ) aim to retrieve top- $k$ result objects based on the ranking score considering spatial proximity, textual relevance, and temporal similarity simultaneously. However, due to inappropriate
Xiao Jia   +4 more
doaj   +1 more source

Generative Adversarial Networks in Digital Pathology and Histopathological Image Processing: A Review

open access: yesJournal of Pathology Informatics, 2021
Digital pathology is gaining prominence among the researchers with developments in advanced imaging modalities and new technologies. Generative adversarial networks (GANs) are a recent development in the field of artificial intelligence and since their ...
Laya Jose   +4 more
semanticscholar   +1 more source

Computer-Assisted Screening for Cervical Cancer Using Digital Image Processing of Pap Smear Images

open access: yesApplied Sciences, 2020
Cervical cancer can be prevented by having regular screenings to find any precancers and treat them. The Pap test looks for any abnormal or precancerous changes in the cells on the cervix.
K. Win   +3 more
semanticscholar   +1 more source

A Feature Comparison of Modern Digital Forensic Imaging Software [PDF]

open access: yesThe Journal of The Institute of Internet, Broadcasting and Communication 19-6: 15-20 (2019), 2020
Fundamental processes in digital forensic investigation, such as disk imaging, were developed when digital investigation was relatively young. As digital forensic processes and procedures matured, these fundamental tools, that are the pillars of the reset of the data processing and analysis phases of an investigation, largely stayed the same. This work
arxiv   +1 more source

An Event Recognition Method for Φ-OTDR Sensing System Based on Deep Learning

open access: yesSensors, 2019
Phase-sensitive optical time domain reflectometer (Φ-OTDR) based distributed optical fiber sensing system has been widely used in many fields such as long range pipeline pre-warning, perimeter security and structure health monitoring.
Yi Shi, Yuanye Wang, Lei Zhao, Zhun Fan
doaj   +1 more source

A Deep-Learning-Based Approach for Wheat Yellow Rust Disease Recognition from Unmanned Aerial Vehicle Images

open access: yesSensors, 2021
Yellow rust is a disease with a wide range that causes great damage to wheat. The traditional method of manually identifying wheat yellow rust is very inefficient.
Qian Pan   +4 more
doaj   +1 more source

Multi-Modality Imaging: A Software Fusion and Image-Guided Therapy Perspective

open access: yesFrontiers in Physics, 2018
With the introduction of computers in medical imaging, which were popularized with the presentation of Hounsfield's ground-breaking work in 1971, numerical image reconstruction and analysis of medical images became a vital part of medical imaging ...
Wolfgang Birkfellner   +5 more
doaj   +1 more source

A Review on Traditional Machine Learning and Deep Learning Models for WBCs Classification in Blood Smear Images

open access: yesIEEE Access, 2021
In computer vision, traditional machine learning (TML) and deep learning (DL) methods have significantly contributed to the advancements of medical image analysis (MIA) by enhancing prediction accuracy, leading to appropriate planning and diagnosis ...
Siraj Khan   +4 more
doaj   +1 more source

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