Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Matthew G Hanna"'
Autor:
Ajay Dhakal, Roby Antony Thomas, Ellis G Levine, Adam Brufsky, Kazuaki Takabe, Matthew G Hanna, Kristopher Attwood, Austin Miller, Thaer Khoury, Amy P Early, Saif Soniwala, Tracy O’Connor, Mateusz Opyrchal
Publikováno v:
Breast Cancer: Basic and Clinical Research, Vol 14 (2020)
Background: Despite the approval of mTOR inhibitor everolimus and CDK4/6 inhibitors in the management of hormone-receptor-positive HER2 non-amplified metastatic breast cancer (HR+ HER2-MBC), the optimal sequence of therapy is unclear. There are no cl
Externí odkaz:
https://doaj.org/article/ab6219d74f2a4b79adec209c9ce08069
Autor:
Giovanni Lujan, Jennifer C Quigley, Douglas Hartman, Anil Parwani, Brian Roehmholdt, Bryan Van Meter, Orly Ardon, Matthew G Hanna, Dan Kelly, Chelsea Sowards, Michael Montalto, Marilyn Bui, Mark D Zarella, Victoria LaRosa, Gerard Slootweg, Juan Antonio Retamero, Mark C Lloyd, James Madory, Doug Bowman
Publikováno v:
Journal of Pathology Informatics, Vol 12, Iss 1, Pp 17-17 (2021)
We believe the switch to a digital pathology (DP) workflow is imminent and it is essential to understand the economic implications of conversion. Many aspects of the adoption of DP will be disruptive and have a direct financial impact, both in short
Externí odkaz:
https://doaj.org/article/ffc3af71044740ea8e8294bdbbd6f410
Autor:
Sarah N Dudgeon, Si Wen, Matthew G Hanna, Rajarsi Gupta, Mohamed Amgad, Manasi Sheth, Hetal Marble, Richard Huang, Markus D Herrmann, Clifford H Szu, Darick Tong, Bruce Werness, Evan Szu, Denis Larsimont, Anant Madabhushi, Evangelos Hytopoulos, Weijie Chen, Rajendra Singh, Steven N Hart, Ashish Sharma, Joel Saltz, Roberto Salgado, Brandon D Gallas
Publikováno v:
Journal of Pathology Informatics, Vol 12, Iss 1, Pp 45-45 (2021)
Purpose: Validating artificial intelligence algorithms for clinical use in medical images is a challenging endeavor due to a lack of standard reference data (ground truth). This topic typically occupies a small portion of the discussion in research p
Externí odkaz:
https://doaj.org/article/d995816493cc41658ea373f1df2d7e73
Autor:
David Kim, Liron Pantanowitz, Peter Schüffler, Dig Vijay Kumar Yarlagadda, Orly Ardon, Victor E Reuter, Meera Hameed, David S Klimstra, Matthew G Hanna
Publikováno v:
Journal of Pathology Informatics, Vol 11, Iss 1, Pp 33-33 (2020)
Background: The microscope high-power field (HPF) is the cornerstone for histopathology diagnostic evaluation such as the quantification of mitotic figures, lymphocytes, and tumor grading. With traditional light microscopy, HPFs are typically evaluat
Externí odkaz:
https://doaj.org/article/af4e148abfa948a69238df544ec856f7
Autor:
Bethany J Williams, Filippo Fraggetta, Matthew G Hanna, Richard Huang, Jochen Lennerz, Roberto Salgado, S Joseph Sirintrapun, Liron Pantanowitz, Anil Parwani, Mark Zarella, Darren E Treanor
Publikováno v:
Journal of Pathology Informatics, Vol 11, Iss 1, Pp 15-15 (2020)
Externí odkaz:
https://doaj.org/article/04d0dd02de9c4fc3afb098d8f3a87e43
Autor:
Hetal Desai Marble, Richard Huang, Sarah Nixon Dudgeon, Amanda Lowe, Markus D Herrmann, Scott Blakely, Matthew O Leavitt, Mike Isaacs, Matthew G Hanna, Ashish Sharma, Jithesh Veetil, Pamela Goldberg, Joachim H Schmid, Laura Lasiter, Brandon D Gallas, Esther Abels, Jochen K Lennerz
Publikováno v:
Journal of Pathology Informatics, Vol 11, Iss 1, Pp 22-22 (2020)
Unlocking the full potential of pathology data by gaining computational access to histological pixel data and metadata (digital pathology) is one of the key promises of computational pathology. Despite scientific progress and several regulatory appro
Externí odkaz:
https://doaj.org/article/be50a3b9cd054f7984beeae023b6a521
Autor:
Joseph W Rudolf, Christopher A Garcia, Matthew G Hanna, Christopher L Williams, Ulysses G Balis, Liron Pantanowitz, J Mark Tuthill, John R Gilbertson
Publikováno v:
Journal of Pathology Informatics, Vol 9, Iss 1, Pp 14-14 (2018)
Background: The alumni of today's Pathology Informatics and Clinical Informatics fellowships fill diverse roles in academia, large health systems, and industry. The evolving training tracks and curriculum of Pathology Informatics fellowships have bee
Externí odkaz:
https://doaj.org/article/9a0af9faac234806858a81c2b8e79f47
Publikováno v:
Journal of Pathology Informatics, Vol 8, Iss 1, Pp 15-15 (2017)
Background: The diagnosis of malignant melanoma (MM) is among the diagnostic challenges pathologists encounter on a routine basis. Melanoma may arise in patients with preexisting dysplastic nevi (DN) and it is still the cause of 1.7% of all cancer-re
Externí odkaz:
https://doaj.org/article/823fc68dda4145ca95aff6fe64261b0c
Publikováno v:
Journal of Pathology Informatics, Vol 6, Iss 1, Pp 44-44 (2015)
Introduction: Smartphone applications in medicine are becoming increasingly prevalent. Given that most pathologists and pathology trainees today use smartphones, an obvious modality for pathology education is through smartphone applications. "MyDermP
Externí odkaz:
https://doaj.org/article/fdaeabeb779c414fad7cc34708c21c0e
Autor:
Orly Ardon, Eric Klein, Allyne Manzo, Lorraine Corsale, Christine England, Allix Mazzella, Luke Geneslaw, John Philip, Peter Ntiamoah, Jeninne Wright, Sahussapont Joseph Sirintrapun, Oscar Lin, Kojo Elenitoba-Johnson, Victor E. Reuter, Meera R. Hameed, Matthew G. Hanna
Publikováno v:
Journal of Pathology Informatics, Vol 14, Iss , Pp 100318- (2023)
Whole slide imaging is revolutionizing the field of pathology and is currently being used for clinical, educational, and research initiatives by an increasing number of institutions. Pathology departments have distinct needs for digital pathology sys
Externí odkaz:
https://doaj.org/article/2797c50ed6a2432d9595ddee8b0689b1