Zobrazeno 1 - 10
of 361
pro vyhledávání: '"Sharon Nofech‐Mozes"'
Autor:
Ezra Hahn, Danielle Rodin, Rinku Sutradhar, Sharon Nofech-Mozes, Sabina Trebinjac, Lawrence Frank Paszat, Eileen Rakovitch
Publikováno v:
Current Oncology, Vol 30, Iss 6, Pp 5795-5806 (2023)
Ductal carcinoma in situ (DCIS), especially in the era of mammographic screening, is a commonly diagnosed breast tumor. Despite the low breast cancer mortality risk, management with breast conserving surgery (BCS) and radiotherapy (RT) is the prevail
Externí odkaz:
https://doaj.org/article/bc37c6c78d6a457c93ea9487883f97f0
Autor:
Hala Faragalla, Anna Plotkin, Penny Barnes, Fang-I Lu, Zuzana Kos, Anna Marie Mulligan, Anita Bane, Sharon Nofech Mozes
Publikováno v:
Current Oncology, Vol 30, Iss 3, Pp 3079-3090 (2023)
Ki67, a marker of cellular proliferation, is commonly assessed in surgical pathology laboratories. In breast cancer, Ki67 is an established prognostic factor with higher levels associated with worse long-term survival. However, Ki67 IHC is considered
Externí odkaz:
https://doaj.org/article/86921015b8fd497b874c8f151d628cfe
Autor:
Alison Min-Yan Cheung, Dan Wang, Kela Liu, Tyna Hope, Mayan Murray, Fiona Ginty, Sharon Nofech-Mozes, Anne Louise Martel, Martin Joel Yaffe
Publikováno v:
Breast Cancer Research, Vol 23, Iss 1, Pp 1-17 (2021)
Abstract Background The extent of cellular heterogeneity in breast cancer could have potential impact on diagnosis and long-term outcome. However, pathology evaluation is limited to biomarker immunohistochemical staining and morphology of the bulk ca
Externí odkaz:
https://doaj.org/article/380a0941338a4f7fb9efa9417646cffb
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Whole slide images (WSIs) pose unique challenges when training deep learning models. They are very large which makes it necessary to break each image down into smaller patches for analysis, image features have to be extracted at multiple sca
Externí odkaz:
https://doaj.org/article/8f311b2bd8d8422bbe478508c0c6ee33
Autor:
Ardalan Mahmoodi, Ahmed Shoqafi, Ping Sun, Vasily Giannakeas, Cezary Cybulski, Sharon Nofech-Mozes, Jean-Yves Masson, Sudha Sharma, Amir Abbas Samani, Srinivasan Madhusudan, Steven A. Narod, Mohammad R. Akbari
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
BackgroundRECQL (also known as RECQ1 and RECQL1) is a gene of recent interest in breast cancer and an association between high levels of RECQL protein in breast cancer tumour cells and good survival of patients has been reported.MethodsTo validate th
Externí odkaz:
https://doaj.org/article/1d8a15ac6dd9482db3bb60117ada93c6
Autor:
Jelena Mirkovic, Ekaterina Olkhov‐Mitsel, Yutaka Amemiya, Maysa Al‐Hussaini, Sharon Nofech‐Mozes, Bojana Djordjevic, Rachel Kupets, Arun Seth, W Glenn McCluggage
Publikováno v:
Histopathology. 82:978-990
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-13 (2018)
Abstract Completely labeled pathology datasets are often challenging and time-consuming to obtain. Semi-supervised learning (SSL) methods are able to learn from fewer labeled data points with the help of a large number of unlabeled data points. In th
Externí odkaz:
https://doaj.org/article/792b44f9bc9942699642a822cd3b0d25
Autor:
Ekaterina Olkhov‐Mitsel, Aurelia Busca, Carlos Parra‐Herran, Yutaka Amemiya, Sharon Nofech‐Mozes, Bojana Djordjevic, Marisa R Nucci, Arun Seth, Jelena Mirkovic
Publikováno v:
Histopathology.
Autor:
Brenna E Swift, Allan Covens, Victoria Mintsopoulos, Carlos Parra-Herran, Marcus Q Bernardini, Sharon Nofech-Mozes, Liat Hogen
Publikováno v:
International Journal of Gynecologic Cancer. 32:1276-1282
ObjectiveTo evaluate oncologic outcomes in patients with stage I endometrioid ovarian cancer treated with fertility-sparing compared with conventional surgery and to describe reproductive outcomes.MethodsA retrospective cohort study was carried out o
Publikováno v:
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