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Published in 2024 at "Scientific Data"
DOI: 10.1038/s41597-024-03288-y
Abstract: Railway transportation has experienced significant growth worldwide, offering numerous benefits to society. Most railway accidents are caused by wheelset faults so it’s significant to monitor wheelset conditions. Therefore, we need to collect wheelset images, repaint…
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Keywords:
laser image;
geometric parameters;
wheelset;
image dataset ... See more keywords
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Published in 2024 at "Scientific Data"
DOI: 10.1038/s41597-024-03409-7
Abstract: Retinopathy of prematurity (ROP) represents a vasoproliferative disease, especially in newborns and infants, which can potentially affect and damage the vision. Despite recent advances in neonatal care and medical guidelines, ROP still remains one of…
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Keywords:
retinopathy prematurity;
image dataset;
prematurity;
dataset infants ... See more keywords
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Published in 2025 at "Scientific Data"
DOI: 10.1038/s41597-025-05757-4
Abstract: Accurate diagnosis of thyroid nodules using ultrasonography is a highly valuable, but challenging task. With the emergence of artificial intelligence, deep learning based methods can provide assistance to radiologists, whose performance heavily depends on the…
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Keywords:
thyroid nodule;
image dataset;
ultrasound image;
detection classification ... See more keywords
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Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3251975
Abstract: In previous research, most multiobject tracking (MOT) algorithms focus on the optical image dataset, while the synthetic aperture radar (SAR) image dataset faces the characteristics of few prior samples, high false alarm rate, and various…
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Keywords:
ship tracker;
multi ship;
robust multi;
image dataset ... See more keywords
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Published in 2024 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2024.3379876
Abstract: Image understanding and analysis primarily rely on object appearances. However, when faced with challenges such as occlusion, camouflage, and small targets in surveillance scenarios, the discriminative features of objects cannot be effectively extracted. This paper…
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Keywords:
image dataset;
hyperspectral image;
image;
surveillance ... See more keywords
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Published in 2022 at "Studies in health technology and informatics"
DOI: 10.3233/shti220482
Abstract: Thyroid Computer-Aided Diagnosis (CAD) systems have been developed to assist radiologists in improving efficiency, reliability, and diagnosis performance. Often the performance of these CAD systems is evaluated with different datasets that make it incomparable. A…
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Keywords:
thyroid ultrasound;
image dataset;
cad systems;
ultrasound image ... See more keywords
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Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.936748
Abstract: COPYRIGHT © 2022 Xu, Jiang, Liu, Xie, Zhu, Cao and Ni. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other…
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Keywords:
modal multi;
multi modal;
image dataset;
multi ... See more keywords
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Published in 2024 at "Algorithms"
DOI: 10.3390/a17050179
Abstract: The task of tree species classification through deep learning has been challenging for the forestry community, and the lack of standardized datasets has hindered further progress. Our work presents a solution in the form of…
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Keywords:
deep learning;
image dataset;
classification using;
tree species ... See more keywords
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Published in 2023 at "Agriculture"
DOI: 10.3390/agriculture13061155
Abstract: Rice serves as the primary food source for nearly half of the global population, with Asia accounting for approximately 90% of rice production worldwide. However, rice farming faces significant losses due to pest attacks. To…
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Keywords:
high density;
deep cnn;
density image;
image dataset ... See more keywords
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Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12123084
Abstract: Diabetic Retinopathy affects one-third of all diabetic patients and may cause vision impairment. It has four stages of progression, i.e., mild non-proliferative, moderate non-proliferative, severe non-proliferative and proliferative Diabetic Retinopathy. The disease has no noticeable…
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Keywords:
fundus image;
image dataset;
deep learning;
diabetic retinopathy ... See more keywords
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Published in 2024 at "Plants"
DOI: 10.3390/plants13030372
Abstract: Hydroponic lettuce was prone to pest and disease problems after transplantation. Manual identification of the current growth status of each hydroponic lettuce not only consumed time and was prone to errors but also failed to…
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Keywords:
lettuce;
image dataset;
hydroponic lettuce;
growth status ... See more keywords