Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Tahsin Reasat"'
Publikováno v:
Machine Learning with Applications, Vol 17, Iss , Pp 100577- (2024)
Deep learning (DL) based diagnostics systems can provide accurate and robust quantitative analysis in digital pathology. These algorithms require large amounts of annotated training data which is impractical in pathology due to the high resolution of
Externí odkaz:
https://doaj.org/article/eec463d0e3a645aeacbe738d7a7d13c9
Autor:
Xiaoqi Liu, Kelsey Parks, Inga Saknite, Tahsin Reasat, Austin D. Cronin, Lee E. Wheless, Benoit M. Dawant, Eric R. Tkaczyk
Publikováno v:
Clinical Hematology International, Vol 3, Iss 3 (2021)
Cutaneous erythema is used in diagnosis and response assessment of cutaneous chronic graft-versus-host disease (cGVHD). The development of objective erythema evaluation methods remains a challenge. We used a pre-trained neural network to segment cGVH
Externí odkaz:
https://doaj.org/article/7fef6828160d4c5b80da2ff5c6f95cb9
Autor:
Kelsey Parks, Xiaoqi Liu, Tahsin Reasat, Zain Khera, Laura X. Baker, Heidi Chen, Benoit M. Dawant, Inga Saknite, Eric R. Tkaczyk
Publikováno v:
Journal of Digital Imaging. 36:373-378
Lack of reliable measures of cutaneous chronic graft-versus-host disease (cGVHD) remains a significant challenge. Non-expert assistance in marking photographs of active disease could aid the development of automated segmentation algorithms, but valid
Autor:
Andrew McNeil, Kelsey Parks, Xiaoqi Liu, Inga Saknite, Fuyao Chen, Tahsin Reasat, Austin Cronin, Lee Wheless, Benoit M. Dawant, Eric R. Tkaczyk
Publikováno v:
Br J Haematol
Autor:
Austin Cronin, Eric R. Tkaczyk, Benoit M. Dawant, Kelsey Parks, Lee E. Wheless, Xiaoqi Liu, Tahsin Reasat, Inga Saknite
Publikováno v:
Clinical Hematology International
Clinical Hematology International, Vol 3, Iss 3 (2021)
Clinical Hematology International, Vol 3, Iss 3 (2021)
Cutaneous erythema is used in diagnosis and response assessment of cutaneous chronic graft-versus-host disease (cGVHD). The development of objective erythema evaluation methods remains a challenge. We used a pre-trained neural network to segment cGVH
Autor:
Ahmed Imtiaz Humayun, Tahsin Reasat, Asif Shahriyar Sushmit, Fuad Rahman, Sadi Mohammad Siddiquee, Mahady Hasan, Samiul Alam
Publikováno v:
Document Analysis and Recognition – ICDAR 2021 ISBN: 9783030863364
ICDAR (4)
ICDAR (4)
Latin has historically led the state-of-the-art in handwritten optical character recognition (OCR) research. Adapting existing systems from Latin to alpha-syllabary languages is particularly challenging due to a sharp contrast between their orthograp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73c73b17684fed407a1aea6e1354086c
https://doi.org/10.1007/978-3-030-86337-1_26
https://doi.org/10.1007/978-3-030-86337-1_26
Autor:
Tahsin Reasat, Celia Shahnaz
Myocardial Infarction is one of the leading causes of death worldwide. This paper presents a Convolutional Neural Network (CNN) architecture which takes raw Electrocardiography (ECG) signal from lead II, III and AVF and differentiates between inferio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1eaa6783536d6669fafb93bdc951ee56
http://arxiv.org/abs/1710.01115
http://arxiv.org/abs/1710.01115
Publikováno v:
International Journal of Communication Systems. 30:e3310