Zobrazeno 1 - 10
of 53
pro vyhledávání: '"M. Khalid Khan Niazi"'
Autor:
Thomas E. Tavolara, M. Khalid Khan Niazi, Andrew L. Feldman, David L. Jaye, Christopher Flowers, Lee A.D. Cooper, Metin N. Gurcan
Publikováno v:
Diagnostic Pathology, Vol 19, Iss 1, Pp 1-13 (2024)
Abstract Background c-MYC and BCL2 positivity are important prognostic factors for diffuse large B-cell lymphoma. However, manual quantification is subject to significant intra- and inter-observer variability. We developed an automated method for qua
Externí odkaz:
https://doaj.org/article/7c68eb8f1a58429a94ccbcc88f6fa070
Autor:
Thomas E. Tavolara, M. Khalid Khan Niazi, Melanie Ginese, Cesar Piedra-Mora, Daniel M. Gatti, Gillian Beamer, Metin N. Gurcan
Publikováno v:
EBioMedicine, Vol 62, Iss , Pp 103094- (2020)
Background: Identifying which individuals will develop tuberculosis (TB) remains an unresolved problem due to few animal models and computational approaches that effectively address its heterogeneity. To meet these shortcomings, we show that Diversit
Externí odkaz:
https://doaj.org/article/a7309d5b120b437387d926e6e407ef85
Autor:
Hiranmoy Das, Zhihui Wang, M. Khalid Khan Niazi, Reeva Aggarwal, Jingwei Lu, Suman Kanji, Manjusri Das, Matthew Joseph, Metin Gurcan, Vittorio Cristini
Publikováno v:
PLoS ONE, Vol 8, Iss 10 (2013)
Externí odkaz:
https://doaj.org/article/b4da51b64c92458e98ab464250ebc51f
Publikováno v:
Medical Imaging 2023: Digital and Computational Pathology.
Publikováno v:
Medical Imaging 2023: Digital and Computational Pathology.
Autor:
Ziyu Su, Sandhya Kumar, Thomas E. Tavolara, Metin N. Gurcan, Scott Segal, M. Khalid Khan Niazi
Publikováno v:
Medical Imaging 2023: Computer-Aided Diagnosis.
Autor:
Thomas E. Tavolara, M. Khalid Khan Niazi, David L. Jaye, Christopher Flowers, Lee Cooper, Metin N. Gurcan
Publikováno v:
Medical Imaging 2023: Digital and Computational Pathology.
Publikováno v:
Medical Imaging 2023: Digital and Computational Pathology.
Publikováno v:
Neural Computing and Applications. 34:12197-12210
Publikováno v:
Cancers; Volume 14; Issue 23; Pages: 5778
Recent methods in computational pathology have trended towards semi- and weakly-supervised methods requiring only slide-level labels. Yet, even slide-level labels may be absent or irrelevant to the application of interest, such as in clinical trials.