Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Marek Wodziński"'
Autor:
Weronika Celniak, Marek Wodziński, Artur Jurgas, Silvia Burti, Alessandro Zotti, Manfredo Atzori, Henning Müller, Tommaso Banzato
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract The analysis of veterinary radiographic imaging data is an essential step in the diagnosis of many thoracic lesions. Given the limited time that physicians can devote to a single patient, it would be valuable to implement an automated system
Externí odkaz:
https://doaj.org/article/397073fe8c9141759b2feae3746869fe
Autor:
Weronika Celniak, Marek Wodziński, Artur Jurgas, Silvia Burti, Alessandro Zotti, Manfredo Atzori, Henning Müller, Tommaso Banzato
Analysis of veterinary radiographic imaging data is an essential step in the diagnosis of many thoracic lesions. Given the limited time that practitioners can devote to a single patient, it would be valuable to implement an automated system to help c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e921e64d2d1d600c3d30d115dbbc0ee8
https://doi.org/10.21203/rs.3.rs-2520777/v1
https://doi.org/10.21203/rs.3.rs-2520777/v1
Autor:
Artur Jurgas, Marek Wodzinski, Marina D’Amato, Jeroen van der Laak, Manfredo Atzori, Henning Müller
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The problem of artifacts in whole slide image acquisition, prevalent in both clinical workflows and research-oriented settings, necessitates human intervention and re-scanning. Overcoming this challenge requires developing quality control al
Externí odkaz:
https://doaj.org/article/d0b8a91b181c4456bf6f628d162cde29
Autor:
Andrzej Skalski, Daria Hemmerling, Marek Wodziński, Mateusz Danioł, Mirosław Soch, Maciej Stanuch, Adriana Złahoda-Huzior, Katarzyna Heryan, Janusz Gajda
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a536a878aebccf5fbb4b5ebe8a466c6d
https://doi.org/10.7494/978-83-67427-00-5_9
https://doi.org/10.7494/978-83-67427-00-5_9
Autor:
Tommaso Banzato, Marek Wodzinski, Silvia Burti, Eleonora Vettore, Henning Muller, Alessandro Zotti
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-7 (2023)
Abstract The aim of this study was to develop and test an artificial intelligence (AI)-based algorithm for detecting common technical errors in canine thoracic radiography. The algorithm was trained using a database of thoracic radiographs from three
Externí odkaz:
https://doaj.org/article/f6303cbf77c44900b8472f5abe0427f0
Autor:
Carlotta Valente, Marek Wodzinski, Carlo Guglielmini, Helen Poser, David Chiavegato, Alessandro Zotti, Roberto Venturini, Tommaso Banzato
Publikováno v:
Frontiers in Veterinary Science, Vol 10 (2023)
An algorithm based on artificial intelligence (AI) was developed and tested to classify different stages of myxomatous mitral valve disease (MMVD) from canine thoracic radiographs. The radiographs were selected from the medical databases of two diffe
Externí odkaz:
https://doaj.org/article/a274e4ff5ded414ca3162ddb3bf38a93
Autor:
Niccolò Marini, Stefano Marchesin, Sebastian Otálora, Marek Wodzinski, Alessandro Caputo, Mart van Rijthoven, Witali Aswolinskiy, John-Melle Bokhorst, Damian Podareanu, Edyta Petters, Svetla Boytcheva, Genziana Buttafuoco, Simona Vatrano, Filippo Fraggetta, Jeroen van der Laak, Maristella Agosti, Francesco Ciompi, Gianmaria Silvello, Henning Muller, Manfredo Atzori
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-18 (2022)
Abstract The digitalization of clinical workflows and the increasing performance of deep learning algorithms are paving the way towards new methods for tackling cancer diagnosis. However, the availability of medical specialists to annotate digitized
Externí odkaz:
https://doaj.org/article/68d27b5d6ac64a1abbd9bf6676cecdcf
Autor:
Niccolò Marini, Sebastian Otalora, Marek Wodzinski, Selene Tomassini, Aldo Franco Dragoni, Stephane Marchand-Maillet, Juan Pedro Dominguez Morales, Lourdes Duran-Lopez, Simona Vatrano, Henning Müller, Manfredo Atzori
Publikováno v:
Journal of Pathology Informatics, Vol 14, Iss , Pp 100183- (2023)
Computational pathology targets the automatic analysis of Whole Slide Images (WSI). WSIs are high-resolution digitized histopathology images, stained with chemical reagents to highlight specific tissue structures and scanned via whole slide scanners.
Externí odkaz:
https://doaj.org/article/79b73b6c8c4f4413b7207b6afa5a21dc
Publikováno v:
Sensors, Vol 23, Iss 12, p 5427 (2023)
The structure and topology of the pulmonary arteries is crucial to understand, plan, and conduct medical treatment in the thorax area. Due to the complex anatomy of the pulmonary vessels, it is not easy to distinguish between the arteries and veins.
Externí odkaz:
https://doaj.org/article/34021405f08d4d389a692aefcdcb3a9e
Autor:
Tommaso Banzato, Marek Wodzinski, Silvia Burti, Valentina Longhin Osti, Valentina Rossoni, Manfredo Atzori, Alessandro Zotti
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract The interpretation of thoracic radiographs is a challenging and error-prone task for veterinarians. Despite recent advancements in machine learning and computer vision, the development of computer-aided diagnostic systems for radiographs rem
Externí odkaz:
https://doaj.org/article/da5a472551f64eec84e60932f09ad09d