Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Clinton J V, Campbell"'
Autor:
Taher Dehkharghanian, Azam Asilian Bidgoli, Abtin Riasatian, Pooria Mazaheri, Clinton J. V. Campbell, Liron Pantanowitz, H. R. Tizhoosh, Shahryar Rahnamayan
Publikováno v:
Diagnostic Pathology, Vol 18, Iss 1, Pp 1-12 (2023)
Abstract Background Deep learning models applied to healthcare applications including digital pathology have been increasing their scope and importance in recent years. Many of these models have been trained on The Cancer Genome Atlas (TCGA) atlas of
Externí odkaz:
https://doaj.org/article/fe9d88279a934d69a5923043a2a8caeb
Autor:
Rohollah Moosavi Tayebi, Youqing Mu, Taher Dehkharghanian, Catherine Ross, Monalisa Sur, Ronan Foley, Hamid R. Tizhoosh, Clinton J. V. Campbell
Publikováno v:
Communications Medicine, Vol 2, Iss 1, Pp 1-14 (2022)
Moosavi Tayebi et al. develop a deep learning-based computational pathology tool for automated bone marrow cytology from whole slide images. Their approach generates a histogram of cell types present within the bone marrow aspirate to aid in diagnost
Externí odkaz:
https://doaj.org/article/48b5781b4f914140b8d951a7b14934b6
Autor:
Shivam Kalra, H. R. Tizhoosh, Sultaan Shah, Charles Choi, Savvas Damaskinos, Amir Safarpoor, Sobhan Shafiei, Morteza Babaie, Phedias Diamandis, Clinton J. V. Campbell, Liron Pantanowitz
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-15 (2020)
Abstract The emergence of digital pathology has opened new horizons for histopathology. Artificial intelligence (AI) algorithms are able to operate on digitized slides to assist pathologists with different tasks. Whereas AI-involving classification a
Externí odkaz:
https://doaj.org/article/236179d0be3f4c138cb25ddc2e00fa92
Publikováno v:
International Journal of Laboratory Hematology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b618be02ee2be0a30147673717e44658
https://doi.org/10.1111/ijlh.14110
https://doi.org/10.1111/ijlh.14110
Autor:
Philipp Knopf, Manal O. Elnenaei, Mohamed Abou El Hassan, Julie Wagner, Shashi Gujar, Daniel Gaston, Barry E. Kennedy, Jeanette E. Boudreau, Clinton J. V. Campbell, Samuel D. Cutler, Andrea J. Thoni, Nicholas A. Forward, Darrell White, Marissa Goudie
Publikováno v:
The Journal of Molecular Diagnostics. 23:1699-1714
Multiple myeloma presents with numerous primary genomic lesions that broadly dichotomize cases into hyperdiploidy or IgH translocated. Clinically, these large alterations are assessed by fluorescence in situ hybridization (FISH) for risk stratificati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc19ac31a32958294e3941b96a691736
https://doi.org/10.1016/j.jmoldx.2021.08.011
https://doi.org/10.1016/j.jmoldx.2021.08.011
Autor:
Hamid R. Tizhoosh, Morteza Babaie, Danial Maleki, Abtin Riasatian, Clinton J. V. Campbell, Phedias Diamandis, Shivam Kalra, Amir Safarpoor
Publikováno v:
The American Journal of Pathology. 191:1702-1708
One of the major obstacles in reaching diagnostic consensus is observer variability. With the recent success of artificial intelligence, particularly the deep networks, the question emerges as to whether the fundamental challenge of diagnostic imagin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0f8807a03c927db662d64660830d1dd
https://doi.org/10.1016/j.ajpath.2021.01.015
https://doi.org/10.1016/j.ajpath.2021.01.015
Autor:
Amir Safarpoor, Morteza Babaie, Savvas Damaskinos, Clinton J. V. Campbell, Phedias Diamandis, Shivam Kalra, Charles Choi, Liron Pantanowitz, Hamid R. Tizhoosh, Sobhan Shafiei, Sultaan Shah
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-15 (2020)
NPJ Digital Medicine
NPJ Digital Medicine
The emergence of digital pathology has opened new horizons for histopathology and cytology. Artificial-intelligence algorithms are able to operate on digitized slides to assist pathologists with diagnostic tasks. Whereas machine learning involving cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01feaf04bcaaba6470f911a3797c1dd5
http://link.springer.com/article/10.1038/s41746-020-0238-2
http://link.springer.com/article/10.1038/s41746-020-0238-2
Autor:
Rohollah Moosavi Tayebi, Youqing Mu, Taher Dehkharghanian, Catherine Ross, Monalisa Sur, Ronan Foley, Hamid R. Tizhoosh, Clinton J. V. Campbell
Publikováno v:
Communications medicine. 2
Background Bone marrow cytology is required to make a hematological diagnosis, influencing critical clinical decision points in hematology. However, bone marrow cytology is tedious, limited to experienced reference centers and associated with inter-o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::731ee4bae5709b6803755362e613e7ab
https://pubmed.ncbi.nlm.nih.gov/35603269
https://pubmed.ncbi.nlm.nih.gov/35603269
Autor:
Samuel D, Cutler, Philipp, Knopf, Clinton J V, Campbell, Andrea, Thoni, Mohamed, Abou El Hassan, Nicholas, Forward, Darrell, White, Julie, Wagner, Marissa, Goudie, Jeanette E, Boudreau, Barry E, Kennedy, Shashi, Gujar, Daniel, Gaston, Manal O, Elnenaei
Publikováno v:
The Journal of molecular diagnostics : JMD. 23(12)
Multiple myeloma presents with numerous primary genomic lesions that broadly dichotomize cases into hyperdiploidy or IgH translocated. Clinically, these large alterations are assessed by fluorescence in situ hybridization (FISH) for risk stratificati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::09d49443dd3b4cce7d71d79aa5bd5004
https://pubmed.ncbi.nlm.nih.gov/34562616
https://pubmed.ncbi.nlm.nih.gov/34562616
Autor:
Catherine L. Ross, Brian Leber, Monalisa Sur, Clinton J. V. Campbell, Rohollah Moosavi Tayebi, Hamid R. Tizhoosh, Youqing Mu
Publikováno v:
Communications medicine. 1
Pathology synopses consist of semi-structured or unstructured text summarizing visual information by observing human tissue. Experts write and interpret these synopses with high domain-specific knowledge to extract tissue semantics and formulate a di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b1ce793f8f9bd49ea15aff784792cb9
https://pubmed.ncbi.nlm.nih.gov/35602188
https://pubmed.ncbi.nlm.nih.gov/35602188