Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Alaa AlZoubi"'
Publikováno v:
Bioengineering, Vol 11, Iss 5, p 453 (2024)
In recent years, deep convolutional neural networks (DCNNs) have shown promising performance in medical image analysis, including breast lesion classification in 2D ultrasound (US) images. Despite the outstanding performance of DCNN solutions, explai
Externí odkaz:
https://doaj.org/article/5f92c74f529742cda44eff1b819235b1
Autor:
Xu-Juan Huang, Hongbo Du, Yi-Cheng Zhu, Xiu-Rong Shi, Jun Shan, Alaa AlZoubi, Yuan Zhang, Tao Zhang, Quan Jiang
Publikováno v:
Journal of Ultrasound in Medicine. 41:1961-1974
BACKGROUND This pilot study aims at exploiting machine learning techniques to extract color Doppler ultrasound (CDUS) features and to build an artificial neural network (ANN) model based on these CDUS features for improving the diagnostic performance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d70814270e85ef45dc7d549d500265e
https://doi.org/10.1002/jum.15873
https://doi.org/10.1002/jum.15873
Publikováno v:
Multimodal Image Exploitation and Learning 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea2f96ce6f840d9d2c346b955434ab3c
https://doi.org/10.1117/12.2618656
https://doi.org/10.1117/12.2618656
Publikováno v:
Multimodal Image Exploitation and Learning 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf7c64baf80bbc1776803f34819048af
https://doi.org/10.1117/12.2618470
https://doi.org/10.1117/12.2618470
Publikováno v:
Multimodal Image Exploitation and Learning 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9204989d38b2151c23aed12db866a92a
https://doi.org/10.1117/12.2618502
https://doi.org/10.1117/12.2618502
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84677e8b315476652f384d95fef2e190
https://doi.org/10.2139/ssrn.4130769
https://doi.org/10.2139/ssrn.4130769
Autor:
Rahulan Radhakrishnan, Alaa Alzoubi
Publikováno v:
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4557c0a603820124b826e4cda5f1c2c
https://doi.org/10.5220/0010903500003124
https://doi.org/10.5220/0010903500003124
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030870935
UKCI
UKCI
Breast cancer is one of the leading forms of cancer. Breast lesion detection is a prerequisite for description of its characteristics and ultimately correct diagnosis of the lesion type. Compared to object detection in natural images, lesion detectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::353e3909c521e64bbba191c60be02562
https://doi.org/10.1007/978-3-030-87094-2_16
https://doi.org/10.1007/978-3-030-87094-2_16
A generic approach for automatic crack recognition in buildings glass facade and concrete structures
Publikováno v:
Thirteenth International Conference on Digital Image Processing (ICDIP 2021).
Inspection of glass facade and concrete structures for damages such as cracks are crucial for buildings safety and maintenance. Such surface cracks result in appearance of objects of abnormal geometric shapes, an obvious motivation to investigate geo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77dd0c85723aa113f0156d667eb28157
https://doi.org/10.1117/12.2601061
https://doi.org/10.1117/12.2601061
Publikováno v:
Multimodal Image Exploitation and Learning 2021.
The number of active landmines is uncertain, however, estimated 5,554 people were killed or injured by mines in 2019. Understanding the land-cover before mine clearance process provides valuable information on the scale of the problem, the resources
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05ef50c956811fa0f07d42535a9a693b
https://doi.org/10.1117/12.2589792
https://doi.org/10.1117/12.2589792