Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mohammad F. Jamaluddin"'
Autor:
Mohammad F. Jamaluddin, K. H. Teoh, L. M. Looi, J. T. H. Lee, S. Y. Khor, Mohammad Faizal Ahmad Fauzi, Fazly Salleh Abas
Publikováno v:
TENCON
In this paper, we present our recent work on cells detection and segmentation in estrogen receptor immunohistochemistry (ER-IHC)-stained breast carcinoma images. The proposed cell detection and segmentation is very useful in the predictive scoring of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e61357deeb79ac569a0e63ffc463e43f
https://doi.org/10.1109/tencon50793.2020.9293726
https://doi.org/10.1109/tencon50793.2020.9293726
Autor:
Kean H. Teoh, Jenny T. H. Lee, Lai M. Looi, Mohammad Faizal Ahmad Fauzi, Mohammad F. Jamaluddin
Publikováno v:
IPAS
Digital pathology incorporates the acquisition, management, sharing and interpretation of pathology information in a digital environment. The field of digital pathology is currently regarded as one of the most promising avenues of diagnostic medicine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e19363a24279d54312f10f457cdae1b7
https://doi.org/10.1109/ipas.2018.8708876
https://doi.org/10.1109/ipas.2018.8708876
Autor:
Kean H. Teoh, See Y. Khor, Mohammad F. Jamaluddin, Lai M. Looi, Jenny T. H. Lee, Fazly Salleh Abas, Mohammad Faizal Ahmad Fauzi
Publikováno v:
EMBC
Hormone receptor status in breast carcinoma is determined primarily to identify patients who may benefit from hormonal therapy. Estrogen receptor (ER) is one of the hormone receptor positive factors which have been recognized as a marker for which wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3e66740e36e01e5dce3ee4b26f49371
https://doi.org/10.1109/embc.2018.8512386
https://doi.org/10.1109/embc.2018.8512386
Publikováno v:
ICSIPA
Histopathological analysis of tissues has been gaining a lot of interests recently, from developing computer algorithms to assist pathologists from cell detection and counting, to tissue classification and cancer grading. With the advent of whole sli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5e9c6fe27c13026d4dc78ef251a3633
https://doi.org/10.1109/icsipa.2017.8120585
https://doi.org/10.1109/icsipa.2017.8120585