Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Rami R. Hagege"'
Autor:
Ariel Greenberg, Benzion Samueli, Shai Farkash, Yaniv Zohar, Shahar Ish-Shalom, Rami R. Hagege, Dov Hershkovitz
Publikováno v:
Diagnostic Pathology, Vol 19, Iss 1, Pp 1-15 (2024)
Abstract Background Differences in the preparation, staining and scanning of digital pathology slides create significant pre-analytic variability. Algorithm-assisted tools must be able to contend with this variability in order to be applicable in cli
Externí odkaz:
https://doaj.org/article/9de80ebf886c4e5da20392a77bc388de
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Perineural invasion (PNI) refers to the presence of cancer cells around or within nerves, raising the risk of residual tumor. Linked to worse prognosis in pancreatic ductal adenocarcinoma (PDAC), PNI is also being explored as a therapeutic t
Externí odkaz:
https://doaj.org/article/ce3791804e7b47d38fd6684916d35d75
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract Histopathologic diagnosis of Hirschsprung's disease (HSCR) is time consuming and requires expertise. The use of artificial intelligence (AI) in digital pathology is actively researched and may improve the diagnosis of HSCR. The purpose of th
Externí odkaz:
https://doaj.org/article/8ca5719ee4a04a26979e03abc344c30e
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Scientific Reports
Scientific Reports
Histopathologic diagnosis of Hirschsprung's disease (HSCR) is time consuming and requires expertise. The use of artificial intelligence (AI) in digital pathology is actively researched and may improve the diagnosis of HSCR. The purpose of this resear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af83eda7bc181ec5764b5ba70976dd46
https://doaj.org/article/8ca5719ee4a04a26979e03abc344c30e
https://doaj.org/article/8ca5719ee4a04a26979e03abc344c30e
Publikováno v:
IEEE Transactions on Image Processing. 29:5517-5530
We present a novel method for online background modeling for static video cameras - Dynamic Spatial Predicted Background (DSPB). Our unique method employs a small subset of image pixels to predict the whole scene by exploiting pixel correlations (dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dca6f2a5ea4c3e308aaf583c9bde1d52
https://doi.org/10.1109/tip.2020.2983598
https://doi.org/10.1109/tip.2020.2983598
Autor:
Ariel Greenberg, Benzion Samueli, Ibrahim Fahoum, Shai Farkash, Orli Greenberg, Valentina Zemser-Werner, Edmond Sabo, Rami R. Hagege, Dov Hershkovitz
Publikováno v:
Archives of pathologylaboratory medicine.
Context.— Medical education in pathology relies on the accumulation of experience gained through inspection of numerous samples from each entity. Acquiring sufficient teaching material for rare diseases, such as Hirschsprung disease (HSCR), may be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fb19399b87eff949ec866735825fa92
https://pubmed.ncbi.nlm.nih.gov/35738006
https://pubmed.ncbi.nlm.nih.gov/35738006
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 29:1584-1594
Light conditions affect the performance of computer vision algorithms by creating spatial changes in color and intensity across a scene. Convolutional neural networks (CNNs) use color components of the input image and, as a result, are sensitive to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c98328d4b55141367ba0932c5474ce5
https://doi.org/10.1109/tcsvt.2018.2846695
https://doi.org/10.1109/tcsvt.2018.2846695
Publikováno v:
Image Processing On Line. 7:386-398
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de91169f653d99a6abf0cca9d3904097
https://doi.org/10.5201/ipol.2017.154
https://doi.org/10.5201/ipol.2017.154
Publikováno v:
IEEE Transactions on Image Processing. 26:4363-4377
Consider a set of deformable objects undergoing geometric and radiometric transformations. As a result of the action of these transformations, the set of different realizations of each object is generally a manifold in the space of observations. Assu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfd191f1b59f7a019cfe90a777d8e970
https://doi.org/10.1109/tip.2017.2698921
https://doi.org/10.1109/tip.2017.2698921
Autor:
Joseph M. Francos, Rami R. Hagege
Publikováno v:
IEEE Transactions on Information Theory. 62:3676-3684
Assume we have a set of observations (for example, images) of different objects, each undergoing a different geometric deformation, yet all the deformations belong to the same family. As a result of the action of these deformations, the set of differ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3dc4b589fcedbd7d17da12e81cce5f3
https://doi.org/10.1109/tit.2016.2555324
https://doi.org/10.1109/tit.2016.2555324