Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ayat G. Lashen"'
Autor:
Noorul Wahab, Michael Toss, Islam M. Miligy, Mostafa Jahanifar, Nehal M. Atallah, Wenqi Lu, Simon Graham, Mohsin Bilal, Abhir Bhalerao, Ayat G. Lashen, Shorouk Makhlouf, Asmaa Y. Ibrahim, David Snead, Fayyaz Minhas, Shan E. Ahmed Raza, Emad Rakha, Nasir Rajpoot
Publikováno v:
npj Precision Oncology, Vol 7, Iss 1, Pp 1-13 (2023)
Abstract Breast cancer (BC) grade is a well-established subjective prognostic indicator of tumour aggressiveness. Tumour heterogeneity and subjective assessment result in high degree of variability among observers in BC grading. Here we propose an ob
Externí odkaz:
https://doaj.org/article/a9e6a8e5c93b4edab4db8a7980977476
Autor:
Noorul Wahab, Islam M Miligy, Katherine Dodd, Harvir Sahota, Michael Toss, Wenqi Lu, Mostafa Jahanifar, Mohsin Bilal, Simon Graham, Young Park, Giorgos Hadjigeorghiou, Abhir Bhalerao, Ayat G Lashen, Asmaa Y Ibrahim, Ayaka Katayama, Henry O Ebili, Matthew Parkin, Tom Sorell, Shan E Ahmed Raza, Emily Hero, Hesham Eldaly, Yee Wah Tsang, Kishore Gopalakrishnan, David Snead, Emad Rakha, Nasir Rajpoot, Fayyaz Minhas
Publikováno v:
The Journal of Pathology: Clinical Research, Vol 8, Iss 2, Pp 116-128 (2022)
Abstract Recent advances in whole‐slide imaging (WSI) technology have led to the development of a myriad of computer vision and artificial intelligence‐based diagnostic, prognostic, and predictive algorithms. Computational Pathology (CPath) offer
Externí odkaz:
https://doaj.org/article/0ab322726d414a3280ea866dedb9d11e
Publikováno v:
Cancer. 129:1183-1194
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95734d96ae0278108ca4d2f5bce6cbe9
https://doi.org/10.1002/cncr.34655
https://doi.org/10.1002/cncr.34655
Autor:
Asmaa Ibrahim, Ayat G. Lashen, Ayaka Katayama, Raluca Mihai, Graham Ball, Michael S. Toss, Emad A. Rakha
Publikováno v:
Modern Pathology. 35:739-748
Although counting mitoses is part of breast cancer grading, concordance studies showed low agreement. Refining the criteria for mitotic counting can improve concordance, particularly when using whole slide images (WSIs). This study aims to refine the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bf8c7adebcbcb45421775ca6cc8d82f
https://doi.org/10.1038/s41379-021-00981-w
https://doi.org/10.1038/s41379-021-00981-w
Autor:
Ayat G Lashen, Michael S Toss, Louisa Wootton, Andrew R. Green, Nigel P Mongan, Srinivasan Madhusudan, Emad Rakha
Publikováno v:
Histopathology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea83ab0d1ef1eb35819f854b58629c6d
https://doi.org/10.1111/his.14960
https://doi.org/10.1111/his.14960
Publikováno v:
Cancer.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7c420c7b8de424efaf2fc1cd8c409c0
https://doi.org/10.1002/cncr.34826
https://doi.org/10.1002/cncr.34826
Autor:
Noorul Wahab, Islam M Miligy, Katherine Dodd, Harvir Sahota, Michael Toss, Wenqi Lu, Mostafa Jahanifar, Mohsin Bilal, Simon Graham, Young Park, Giorgos Hadjigeorghiou, Abhir Bhalerao, Ayat G Lashen, Asmaa Y Ibrahim, Ayaka Katayama, Henry O Ebili, Matthew Parkin, Tom Sorell, Shan E Ahmed Raza, Emily Hero, Hesham Eldaly, Yee Wah Tsang, Kishore Gopalakrishnan, David Snead, Emad Rakha, Nasir Rajpoot, Fayyaz Minhas
Publikováno v:
The Journal of Pathology: Clinical Research, Vol 8, Iss 2, Pp 116-128 (2022)
Recent advances in whole‐slide imaging (WSI) technology have led to the development of a myriad of computer vision and artificial intelligence‐based diagnostic, prognostic, and predictive algorithms. Computational Pathology (CPath) offers an inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b39c96b6c784a02c6c5abe29a8f97486
Autor:
Wenqi Lu, Ayat G Lashen, Noorul Wahab, Islam M Miligy, Mostafa Jahanifar, Michael Toss, Simon Graham, Mohsin Bilal, Abhir Bhalerao, Nehal M Atallah, Shorouk Makhlouf, Asmaa Y Ibrahim, David Snead, Fayyaz Minhas, Shan E Ahmed Raza, Emad Rakha, Nasir Rajpoot
Publikováno v:
The Journal of Pathology: Clinical Research, Vol 10, Iss 1, Pp n/a-n/a (2024)
Abstract Early‐stage estrogen receptor positive and human epidermal growth factor receptor negative (ER+/HER2−) luminal breast cancer (BC) is quite heterogeneous and accounts for about 70% of all BCs. Ki67 is a proliferation marker that has a sig
Externí odkaz:
https://doaj.org/article/6a155cf9d05147a98b8a08c72dc26ccc