Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Patrice Monkam"'
Publikováno v:
IEEE Access, Vol 12, Pp 41000-41008 (2024)
Ovarian cancer is one of the three most common types of gynecological cancer globally, with high-grade serous ovarian cancer being the most common and aggressive histological type. Guided treatment of high-grade serous ovarian cancer typically involv
Externí odkaz:
https://doaj.org/article/c324c4cbde7b45d986e5ea405f62b7a7
Publikováno v:
IEEE Access, Vol 12, Pp 153273-153273 (2024)
Presents corrections to the paper, (Corrections to “An Attention-Based Deep Learning Network for Predicting Platinum Resistance in Ovarian Cancer”).
Externí odkaz:
https://doaj.org/article/349831ba8840407abec26937d216c8f9
Publikováno v:
IEEE Access, Vol 7, Pp 5564-5576 (2019)
Numerous automatic systems of pulmonary nodules detection have been proposed, but very few of them have been consecrated to micro-nodules (diameter < 3 mm) even though they are regarded as the earliest manifestations of lung cancer. Moreover, most av
Externí odkaz:
https://doaj.org/article/984be63ceb9448c5a50a3bcda8613507
Publikováno v:
IEEE Access, Vol 7, Pp 78075-78091 (2019)
CT screening has been proven to be effective for diagnosing lung cancer at its early manifestation in the form of pulmonary nodules, thus decreasing the mortality. However, the exponential increase of image data makes their accurate assessment a very
Externí odkaz:
https://doaj.org/article/e2d51c9b8f2743c2b62dfbf7e79e870a
Publikováno v:
IEEE Access, Vol 7, Pp 110358-110371 (2019)
Various deep convolutional neural networks (CNNs) have been used to distinguish between benign and malignant pulmonary nodules using CT images. However, single learner usually presents unsatisfied performance due to limited hypothesis space, or falli
Externí odkaz:
https://doaj.org/article/ff086786a21340e882f89e2a9cbe3265
Publikováno v:
BioMedical Engineering OnLine, Vol 17, Iss 1, Pp 1-16 (2018)
Abstract Background Early and automatic detection of pulmonary nodules from CT lung screening is the prerequisite for precise management of lung cancer. However, a large number of false positives appear in order to increase the sensitivity, especiall
Externí odkaz:
https://doaj.org/article/f749fee2d5044b87b77f027306e1811e
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. :1-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42c6484bc384d467825599f19d98228b
https://doi.org/10.1109/jbhi.2023.3236989
https://doi.org/10.1109/jbhi.2023.3236989
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-12
Recently, a multitask learning framework named M: multitask, R: global residual skip connection structure, U: encoder-decoder structure of U-Net, D: dense skip connection structure, and SR: super-resolution (M-RUDSR) has successfully improved the acc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca2ad34f81a84a48cc438171b0e0a82e
https://doi.org/10.1109/tgrs.2021.3075622
https://doi.org/10.1109/tgrs.2021.3075622
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f98d72237c628a8f879b8708822a0a17
https://doi.org/10.1109/tgrs.2022.3193297
https://doi.org/10.1109/tgrs.2022.3193297
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af915da7755c62189a0460267a429a93
https://doi.org/10.1109/icip46576.2022.9898006
https://doi.org/10.1109/icip46576.2022.9898006