Szczegóły publikacji
Opis bibliograficzny
Medical imaging data analysis using 3D deep learning models towards improving the individual treatment plans / Kamila KALECIŃSKA, Tomasz FIUTOWSKI, Paweł JURGIELEWICZ, Damian Kabat, Bartłomiej Rachwał, Łukasz Kapłon, Maciej KOPEĆ, Stefan KOPERNY, Dagmara Kulig, Jakub MOROŃ, Gabriel Moskal, Antoni Ruciński, Piotr WIĄCEK, Bartosz MINDUR, Tomasz SZUMLAK // Nuclear Instruments & Methods in Physics Research. Section A, Accelerators, spectrometers, detectors and associated equipment ; ISSN 0168-9002. — 2023 — vol. 1048 art. no. 167951, s. 1–2. — Bibliogr. s. 2, Abstr. — Publikacja dostępna online od: 2022-12-19
Autorzy (15)
- AGHKalecińska Kamila
- AGHFiutowski Tomasz
- AGHJurgielewicz Paweł
- Kabat Damian
- Rachwał Bartłomiej
- Kapłon Łukasz
- AGHKopeć Maciej
- AGHKoperny Stefan
- Kulig Dagmara
- AGHMoroń Jakub
- Moskal Gabriel
- Ruciński Antoni
- AGHWiącek Piotr
- AGHMindur Bartosz
- AGHSzumlak Tomasz
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 144621 |
|---|---|
| Data dodania do BaDAP | 2023-01-17 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.nima.2022.167951 |
| Rok publikacji | 2023 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Nuclear Instruments & Methods in Physics Research, Section A, Accelerators Spectrometers, Detectors and Associated Equipment |
Abstract
This work is a part of a research project aiming at delivering the next generation active medical phantom, Dose-3D, with high spatial granulation for quasi-real time measurement of the volumetric radiotherapeutic dose deposited during photon therapy. The preliminary results, discussed here, pertain to the intelligent medical data augmentation using Generative Adversarial Networks (GANs) technique implemented inside MONAI framework. However, in the scope of the project, we perform a broad search for the most efficient and advanced Deep Learning (DL) models to create tools for 3D Computed Tomography (CT) images segmentation and cancer diagnosis improvement that will be an integral part of the custom designed software platform for processing data collected with Dose-3D phantom. Apart from the innovative detection system the software itself may prove to be disruptive in the context of the currently available tools by offering open-source high quality toolkit for wide use in everyday clinical applications.