Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Hamid Fehri"'
Autor:
Peipei Lu, Joseph Foley, Chunfang Zhu, Katherine McNamara, Korsuk Sirinukunwattana, Sujay Vennam, Sushama Varma, Hamid Fehri, Arunima Srivastava, Shirley Zhu, Jens Rittscher, Parag Mallick, Christina Curtis, Robert West
Publikováno v:
Breast Cancer Research, Vol 23, Iss 1, Pp 1-15 (2021)
Abstract Background The acquisition of oncogenic drivers is a critical feature of cancer progression. For some carcinomas, it is clear that certain genetic drivers occur early in neoplasia and others late. Why these drivers are selected and how these
Externí odkaz:
https://doaj.org/article/5a4a0026406d47478c68357b08b07dc8
Autor:
Sujay Vennam, Sushama Varma, Parag Mallick, Christina Curtis, Peipei Lu, Shirley Zhu, Chunfang Zhu, Joseph W. Foley, Jens Rittscher, Robert B. West, Katherine McNamara, Hamid Fehri, Arunima Srivastava, Korsuk Sirinukunwattana
Publikováno v:
Breast Cancer Research, Vol 23, Iss 1, Pp 1-15 (2021)
Breast Cancer Research : BCR
Breast Cancer Research : BCR
Background The acquisition of oncogenic drivers is a critical feature of cancer progression. For some carcinomas, it is clear that certain genetic drivers occur early in neoplasia and others late. Why these drivers are selected and how these changes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::907b73785784bddd6d5db97ea245fd91
https://ora.ox.ac.uk/objects/uuid:b8582f56-7946-44a8-bfe7-00d76c5faf1d
https://ora.ox.ac.uk/objects/uuid:b8582f56-7946-44a8-bfe7-00d76c5faf1d
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872366
MICCAI (8)
MICCAI (8)
Detection of early onset of fibrosis is critical to detecting long term damage to identify potential loss of organ function. While formal grading systems for fibrosis have been established, we argue that a quantitative analysis of fibrosis patterns w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c995c21eec9b76c4474435386d00675
https://doi.org/10.1007/978-3-030-87237-3_21
https://doi.org/10.1007/978-3-030-87237-3_21
Autor:
Carole H. Sudre, Hamid Fehri, Tal Arbel, Christian F. Baumgartner, Adrian Dalca, Ryutaro Tanno, Koen Van Leemput, William M. Wells, Aristeidis Sotiras, Bartlomiej Papiez, Enzo Ferrante, Sarah Parisot
This book constitutes the refereed proceedings of the Second International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2020, and the Third International Workshop on Graphs in Biomedical Image Analysis,
Purpose: This work proposes a new reliable computer‐aided diagnostic (CAD) system for the diagnosis of breast cancer from breast ultrasound (BUS) images. The system can be useful to reduce the number of biopsies and pathological tests, which are in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bfb1d377e181b0ce8eadaab13fe54ff
https://eprints.whiterose.ac.uk/133377/8/All_material.pdf
https://eprints.whiterose.ac.uk/133377/8/All_material.pdf
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319590493
IPMI
IPMI
Multi-class segmentation is a crucial step in cell image analysis. This process becomes challenging when little information is available for recognising cells from the background, due to their poor discriminative features. To alleviate this, directed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b12741f274bc2b03f62f866d8c820e19
https://doi.org/10.1007/978-3-319-59050-9_41
https://doi.org/10.1007/978-3-319-59050-9_41