Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Maya Alsheh Ali"'
Publikováno v:
Breast Cancer Research, Vol 19, Iss 1, Pp 1-13 (2017)
Abstract Background Mammographic percentage density is an established and important risk factor for breast cancer. In this paper, we investigate the role of the spatial organisation of (dense vs. fatty) regions of the breast defined from mammographic
Externí odkaz:
https://doaj.org/article/117a1179d2da41feaed9f84b2ce42063
Publikováno v:
Medical Physics
Purpose We explore using the number of potential microcalcification clusters detected in for-presentation mammographic images (the images which are typically accessible to large epidemiological studies) a marker of short-term breast cancer risk. Meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b748067e9b220b5d2a9293a035b4d55
http://europepmc.org/articles/PMC6850331
http://europepmc.org/articles/PMC6850331
Publikováno v:
International Journal of Cancer
Current breast cancer risk models identify mostly less aggressive tumors, although only women developing fatal breast cancer will greatly benefit from early identification. Here, we evaluated the use of mammography features (microcalcification cluste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b3c5721aa3ed604808fffbf14ee481d
https://pubmed.ncbi.nlm.nih.gov/32976625
https://pubmed.ncbi.nlm.nih.gov/32976625
Publikováno v:
Breast Cancer Research, Vol 19, Iss 1, Pp 1-13 (2017)
Breast Cancer Research : BCR
Breast Cancer Research : BCR
Background Mammographic percentage density is an established and important risk factor for breast cancer. In this paper, we investigate the role of the spatial organisation of (dense vs. fatty) regions of the breast defined from mammographic images i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5825e817529b602aacadc59dae0b4584
http://link.springer.com/article/10.1186/s13058-017-0894-6
http://link.springer.com/article/10.1186/s13058-017-0894-6
Publikováno v:
Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-8 (2019)
Scientific Reports, Vol 9, Iss 1, Pp 1-8 (2019)
Using for-presentation and for-processing digital mammograms, the presence of microcalcifications has been shown to be associated with short-term risk of breast cancer. In a previous article we developed an algorithm for microcalcification cluster de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8948f6c6106f16ef4610ab11a784996
https://doi.org/10.1038/s41598-019-51186-w
https://doi.org/10.1038/s41598-019-51186-w
Publikováno v:
MIUA
We present a new approach for characterising the shape and the spatial relationships of different categories of density in mammograms. Descriptions of regions are encoded using a forces histogram method and across-image variation is captured using fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8802e9c8cfd9961d359129cee14052f3
Autor:
Nathalie Mignet, Laurent Wendling, Thomas Hurtut, Maya Alsheh Ali, Mickaël Garnier, Johanne Seguin
Publikováno v:
Lecture Notes in Computer Sciences
International Conference on Image Analysis and Recognition
International Conference on Image Analysis and Recognition, Oct 2014, Portugal. pp.247-254
International Conference on Image Analysis and Recognition, Oct 2014, Portugal. 8815, pp.247-254, 2014
Lecture Notes in Computer Science ISBN: 9783319117546
ICIAR (2)
International Conference on Image Analysis and Recognition
International Conference on Image Analysis and Recognition, Oct 2014, Portugal. pp.247-254
International Conference on Image Analysis and Recognition, Oct 2014, Portugal. 8815, pp.247-254, 2014
Lecture Notes in Computer Science ISBN: 9783319117546
ICIAR (2)
International audience; Histology image analysis is widely used is cancer studies since this modality preserves the tissue structure. In this paper, we propose a framework to grade metastatic liver histology images based on the spatial organization i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bca01b9ecdeabb816304467751b83c2e
https://hal.science/hal-01063797/file/MG_MAA_ICIAR2014.pdf
https://hal.science/hal-01063797/file/MG_MAA_ICIAR2014.pdf
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Proc. SPIE 9035, Medical Imaging 2014: Computer-Aided Diagnosis
SPIE Medical Imaging
SPIE Medical Imaging, Feb 2014, United States. pp.903531-903531-7, ⟨10.1117/12.2043098⟩
SPIE Medical Imaging, Feb 2014, United States. pp.903531-903531-7, 2014, 〈10.1117/12.2043098〉
Proc. SPIE 9035, Medical Imaging 2014: Computer-Aided Diagnosis
SPIE Medical Imaging
SPIE Medical Imaging, Feb 2014, United States. pp.903531-903531-7, ⟨10.1117/12.2043098⟩
SPIE Medical Imaging, Feb 2014, United States. pp.903531-903531-7, 2014, 〈10.1117/12.2043098〉
International audience; Glaucoma, a group of diseases that lead to optic neuropathy, is one of the most common reasons for blindness worldwide. Glaucoma rarely causes symptoms until the later stages of the disease. Early detection of glaucoma is very
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20e97604f1a0321cda4b6132dc0ee016
https://doi.org/10.1117/12.2043098
https://doi.org/10.1117/12.2043098