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Brain tumor classification using fine-tuned GoogLeNet features and machine learning algorithms: IoMT enabled CAD system
In the healthcare research community, Internet of Medical Things (IoMT) is transforming the
healthcare system into the world of the future internet. In IoMT enabled Computer aided …
healthcare system into the world of the future internet. In IoMT enabled Computer aided …
Detection and classification of bearing surface defects based on machine vision
M Lu, CL Chen - Applied Sciences, 2021 - mdpi.com
Surface defects on bearings can directly affect the service life and reduce the performance of
equipment. At present, the detection of bearing surface defects is mostly done manually …
equipment. At present, the detection of bearing surface defects is mostly done manually …
[HTML][HTML] Multi-scale coal fire detection based on an improved active contour model from Landsat-8 Satellite and UAV images
Y Gao, M Hao, Y Wang, L Dang, Y Guo - ISPRS International Journal of …, 2021 - mdpi.com
Underground coal fires can increase surface temperature, cause surface cracks and
collapse, and release poisonous and harmful gases, which significantly harm the ecological …
collapse, and release poisonous and harmful gases, which significantly harm the ecological …
LSL-SS-Net: level set loss-guided semantic segmentation networks for landslide extraction
ABSTRACT A landslide inventory is essential for numerous applications, including disaster
prevention and mitigation. The emergence of advanced satellite technologies and the …
prevention and mitigation. The emergence of advanced satellite technologies and the …
Distance regularization energy terms in level set image segment model: a survey
L Zou, T Weise, QJ Huan, ZZ Wu, LT Song, XF Wang - Neurocomputing, 2022 - Elsevier
The level set is a classical image segmentation model. In order to achieve its stable
evolution, the level set function should be a signed distance function (SDF). However, due to …
evolution, the level set function should be a signed distance function (SDF). However, due to …
Application of 3D image processing technology based on image segmentation in packaging design
X ** - International Journal on Interactive Design and …, 2023 - Springer
Recent years, the methods to combine artificial intelligence technology with 3D image
processing technology has become a hub for research in packaging design. Traditional 3D …
processing technology has become a hub for research in packaging design. Traditional 3D …
Minimum error threshold segmentation method for SAR image based on Rayleigh distribution assumption
Y Lv - The Imaging Science Journal, 2024 - Taylor & Francis
Accurately extracting and segmenting boundaries between targets and backgrounds is
difficult in Synthetic Aperture Radar (SAR) images because of the many scattering …
difficult in Synthetic Aperture Radar (SAR) images because of the many scattering …
Impact Analysis of Informatization Means Driven by Artificial Intelligence Technology on Visual Communication.
L Ni - International Journal of Advanced Computer Science …, 2024 - search.ebscohost.com
With the popularization of computer technology, the combination of artificial intelligence and
image processing technology has become a research hotspot in the visual communication …
image processing technology has become a research hotspot in the visual communication …
A Xanthoceras sorbifolium crack segmentation method based on an improved level set
D Zhang, T Li, CL Philip Chen, L Wang - IET Image Processing, 2023 - Wiley Online Library
The dehiscence of the Xanthoceras sorbifolium (X. sorbifolium) may lead to seeds jump out
and economic loss. The shape and the degree of the crack will provide the relevant …
and economic loss. The shape and the degree of the crack will provide the relevant …
Segmentation of Thyroid Nodules Based on Hyperspectral Images
J Wang, C Tao, J Du, B Hu… - 2023 IEEE 11th Joint …, 2023 - ieeexplore.ieee.org
Thyroid nodules are a common thyroid disease, and early detection and treatment have a
significant impact on the prognosis of patients. Hyperspectral image technology has …
significant impact on the prognosis of patients. Hyperspectral image technology has …