Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Anil P. Parwani"'
Publikováno v:
Journal of Pathology Informatics, Vol 13, Iss , Pp 100078- (2022)
Externí odkaz:
https://doaj.org/article/fd3db8f46d9547e1a68c6c359a028680
Publikováno v:
Diagnostic Pathology, Vol 19, Iss 1, Pp 1-18 (2024)
Abstract This review discusses the profound impact of artificial intelligence (AI) on breast cancer (BC) diagnosis and management within the field of pathology. It examines the various applications of AI across diverse aspects of BC pathology, highli
Externí odkaz:
https://doaj.org/article/0cdf9af1abe84badbc57a8d4f2c4fd03
Autor:
Saba Shafi, Anil V. Parwani
Publikováno v:
Diagnostic Pathology, Vol 18, Iss 1, Pp 1-12 (2023)
Abstract Digital pathology (DP) is being increasingly employed in cancer diagnostics, providing additional tools for faster, higher-quality, accurate diagnosis. The practice of diagnostic pathology has gone through a staggering transformation wherein
Externí odkaz:
https://doaj.org/article/502fed270180464b839ed0a78a453ef3
Autor:
Abdalla Elbialy, Deepthi Kappala, Dhruv Desai, Peng Wang, Ahmed Fadiel, Shang-Jui Wang, Mina S. Makary, Scott Lenobel, Akshay Sood, Michael Gong, Shawn Dason, Ahmad Shabsigh, Steven Clinton, Anil V. Parwani, Nagireddy Putluri, Gennady Shvets, Jenny Li, Xuefeng Liu
Publikováno v:
Cells, Vol 13, Iss 12, p 1005 (2024)
Prostate cancer (PCa) remains a leading cause of mortality among American men, with metastatic and recurrent disease posing significant therapeutic challenges due to a limited comprehension of the underlying biological processes governing disease ini
Externí odkaz:
https://doaj.org/article/9353c2c60c2643d294c8383878443da2
Autor:
Zhi Huang, Wei Shao, Zhi Han, Ahmad Mahmoud Alkashash, Carlo De la Sancha, Anil V. Parwani, Hiroaki Nitta, Yanjun Hou, Tongxin Wang, Paul Salama, Maher Rizkalla, Jie Zhang, Kun Huang, Zaibo Li
Publikováno v:
npj Precision Oncology, Vol 7, Iss 1, Pp 1-15 (2023)
Abstract Advances in computational algorithms and tools have made the prediction of cancer patient outcomes using computational pathology feasible. However, predicting clinical outcomes from pre-treatment histopathologic images remains a challenging
Externí odkaz:
https://doaj.org/article/1509f4f2194b4f669a875e33a5304cf6
Autor:
Anil V. Parwani, Ankush Patel, Ming Zhou, John C. Cheville, Hamid Tizhoosh, Peter Humphrey, Victor E. Reuter, Lawrence D. True
Publikováno v:
Journal of Pathology Informatics, Vol 14, Iss , Pp 100177- (2023)
Machine learning has been leveraged for image analysis applications throughout a multitude of subspecialties. This position paper provides a perspective on the evolutionary trajectory of practical deep learning tools for genitourinary pathology throu
Externí odkaz:
https://doaj.org/article/0323aad2f3e8453d82ac37606b822825
Publikováno v:
Human Pathology Reports, Vol 29, Iss , Pp 300673- (2022)
The rate of digital pathology adoption had been slow until the COVID-19 pandemic served as catalyst, demonstrating the possibilities of saving time and money by converting glass slides into whole slide images (WSI) and thus making them available to a
Externí odkaz:
https://doaj.org/article/e105d3c1b518439da70400b4a6ca8e6d
Autor:
Sambit K. Mohanty, Abhishek Satapathy, Machita M. Naidu, Sanjay Mukhopadhyay, Shivani Sharma, Lisa M. Barton, Edana Stroberg, Eric J. Duval, Dinesh Pradhan, Alexandar Tzankov, Anil V. Parwani
Publikováno v:
Diagnostic Pathology, Vol 15, Iss 1, Pp 1-17 (2020)
Abstract Background The world is currently witnessing a major devastating pandemic of Coronavirus disease-2019 (COVID-19). This disease is caused by a novel coronavirus named Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2). It primarily
Externí odkaz:
https://doaj.org/article/60a86b18db4d4eae868a5c0c252bdf5a
Publikováno v:
Diagnostic Pathology, Vol 15, Iss 1, Pp 1-4 (2020)
Externí odkaz:
https://doaj.org/article/f3cf6b6ff2c94614a1c74a6b8f2e3e9b
Publikováno v:
Diagnostic Pathology, Vol 15, Iss 1, Pp 1-7 (2020)
Abstract Background Immunotherapy has demonstrated encouraging clinical benefits in patients with advanced breast carcinomas and Programmed death ligand 1 (PD-L1) expression has been proposed as an immunotherapy biomarker. Challenges with current PD-
Externí odkaz:
https://doaj.org/article/0c3024c89d194282bcf44e9724c7cd26