Using Super-Resolution for Enhancing Visual Perception and Segmentation Performance in Veterinary Cytology

The primary objective of this research was to enhance the quality of semantic segmentation in cytology images by incorporating super-resolution (SR) architectures. An additional contribution was the development of a novel dataset aimed at improving imaging quality in the presence of inaccurate focus...

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Bibliographic Details
Main Authors: Jakub Caputa, Maciej Wielgosz, Daria Łukasik, Paweł Russek, Jakub Grzeszczyk, Michał Karwatowski, Szymon Mazurek, Rafał Frączek, Anna Śmiech, Ernest Jamro, Sebastian Koryciak, Agnieszka Dąbrowska-Boruch, Marcin Pietroń, Kazimierz Wiatr
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Life
Subjects:
Online Access:https://www.mdpi.com/2075-1729/14/3/321