Imaging in medicine is an irreplaceable stage in the diagnosis and treatment of cancer. The subsequent therapeutic effect depends on the quality of the imaging tests performed. In recent years we have been observing the evolution of 2D to 3D imaging for many medical fields, including oncological surgery. The aim of the study is to present a method of selection of radiological imaging tests for learning neural networks.
Authors
- Sergii Girnyi,
- dr inż. Tomasz Dziubich link open in new tab ,
- dr inż. Adam Brzeski link open in new tab ,
- dr inż. Jan Cychnerski link open in new tab ,
- Dariusz Świetlik,
- Jakub Woźniak,
- Weronika Szczecińska,
- Janusz Jaśkiewicz,
- Jacek Zielinski
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1016/j.ejso.2021.12.287
- Category
- Publikacja w czasopiśmie
- Type
- artykuły w czasopismach
- Language
- angielski
- Publication year
- 2022
