Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Ehsan Kozegar"'
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
Retinal images have been proven significant in diagnosing multiple diseases such as diabetes, glaucoma, and hypertension. Retinal vessel segmentation is crucial for the quantitative analysis of retinal images. However, current methods mainly concentr
Externí odkaz:
https://doaj.org/article/070d4a470ac04940b58594f5020e35a0
Publikováno v:
IEEE Access, Vol 9, Pp 126610-126622 (2021)
Cystoscopy imaging is highly recommended for the early diagnosis of bladder cancer, which is the ninth most common cancer in the world. This study presents an intelligent method for classifying cystoscopy images of bladder. In the proposed method, a
Externí odkaz:
https://doaj.org/article/020f4c562fe041ae9fd3b62b18ae2832
Publikováno v:
Ultrasonics. 129:106891
Breast cancer mortality can be significantly reduced by early detection of its symptoms. The 3-D Automated Breast Ultrasound (ABUS) has been widely used for breast screening due to its high sensitivity and reproducibility. The large number of ABUS sl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11f4747d2e3849e655fac128c4c9c324
https://doi.org/10.1016/j.ultras.2022.106891
https://doi.org/10.1016/j.ultras.2022.106891
Publikováno v:
Artificial Intelligence Review, 53(3), 1919-1941. Springer
Nowadays, breast cancer is the leading cause of cancer death for women all over the world. Since the reason of breast cancer is unknown, early detection of the disease plays an important role in cancer control, saving lives and reducing costs. Among
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c31f8e733a71bb4889d14fbff7e91b61
https://doi.org/10.1007/s10462-019-09722-7
https://doi.org/10.1007/s10462-019-09722-7
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f7def791f554d0fcd12054ad3800984
https://doi.org/10.2139/ssrn.4072585
https://doi.org/10.2139/ssrn.4072585
Publikováno v:
Web of Science
Automated 3-D breast ultrasound (ABUS) is a newfound system for breast screening that has been proposed as a supplementary modality to mammography for breast cancer detection. While ABUS has better performance in dense breasts, reading ABUS images is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f136f37de20882b6142dbc1c9c3e33c3
http://arxiv.org/abs/2109.08330
http://arxiv.org/abs/2109.08330
Publikováno v:
International Journal of Engineering. 34
Identification of drug-target protein interaction plays an important role in the drug discovery process. Given the fact that prediction experiments are time-consuming, tedious, and very costly, the computational prediction could be a proper solution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a178c23d9b72cd9313a1c03b82f05eca
https://doi.org/10.5829/ije.2021.34.07a.18
https://doi.org/10.5829/ije.2021.34.07a.18
Publikováno v:
Computers and Electronics in Agriculture. 186:106192
Early diagnosis of plant pests is essential for reducing the consumption of agricultural pesticides as well as saving costs and reducing environmental pollutions. In this paper, an intelligent method based on deep learning is presented to recognize t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9542e27d27a7125897808511bc76b0a7
https://doi.org/10.1016/j.compag.2021.106192
https://doi.org/10.1016/j.compag.2021.106192
Publikováno v:
SPLC (B)
Machine learning, especially deep learning has aroused interests of researchers and practitioners for the last few years in development of intelligent systems such as speech, natural language, and image processing. Software solutions based on machine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe9836c42e929f74cadfad4cbe47f286
https://doi.org/10.1145/3307630.3342419
https://doi.org/10.1145/3307630.3342419
Publikováno v:
SPLC (A)
Deep Neural Networks (DNNs) are increasingly being used as a machine learning solution thanks to the complexity of their architecture and hyperparameters-weights. A drawback is the excessive demand for massive computational power during the training
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::587b046c7e11bd0ee46a8360aa963bfa
https://doi.org/10.1145/3336294.3336321
https://doi.org/10.1145/3336294.3336321