Detail publikačního výsledku

Towards Improved Breast MRI Analysis: Co-Registration and Segmentation Model for Oncological Applications

JAKUBÍČEK, R.; OUŘEDNÍČEK, P.; ENGELE, E.; KUZMINSKIS, M.; ČERVENKOVÁ, J.; CHMELÍK, J.

Originální název

Towards Improved Breast MRI Analysis: Co-Registration and Segmentation Model for Oncological Applications

Anglický název

Towards Improved Breast MRI Analysis: Co-Registration and Segmentation Model for Oncological Applications

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

This paper presents a framework for breast MRI data processing in oncology applications with a focus on image registration and deep learning based segmentation. In this study, we present a proposed approach for flexible breast dynamics registration using B-spline and segmentation using U-Net based architecture. For this, we used a combination of the Duke-Breast-Cancer-MRI dataset and dynamic MRI scans from a local hospital, which provide more robust results, achieving a Dice coefficient of 0.96 ± 0.03 for the optimized model. The main objective of this work is to develop a standardized and user-friendly tool for comprehensive breast MRI analysis and to highlight that data preprocessing is essential for clinical studies.

Anglický abstrakt

This paper presents a framework for breast MRI data processing in oncology applications with a focus on image registration and deep learning based segmentation. In this study, we present a proposed approach for flexible breast dynamics registration using B-spline and segmentation using U-Net based architecture. For this, we used a combination of the Duke-Breast-Cancer-MRI dataset and dynamic MRI scans from a local hospital, which provide more robust results, achieving a Dice coefficient of 0.96 ± 0.03 for the optimized model. The main objective of this work is to develop a standardized and user-friendly tool for comprehensive breast MRI analysis and to highlight that data preprocessing is essential for clinical studies.

Klíčová slova

Breast MRI; breast cancer; tissues analysis; automatic tool

Klíčová slova v angličtině

Breast MRI; breast cancer; tissues analysis; automatic tool

Autoři

JAKUBÍČEK, R.; OUŘEDNÍČEK, P.; ENGELE, E.; KUZMINSKIS, M.; ČERVENKOVÁ, J.; CHMELÍK, J.

Vydáno

01.04.2026

Nakladatel

Springer

Místo

Cham

ISBN

978-3-032-06530-8

Kniha

CMBEBIH 2025

Periodikum

IFMBE Proceedings

Svazek

133

Číslo

April

Stát

Francouzská republika

Strany od

1045

Strany do

1053

Strany počet

9

URL

https://link.springer.com/chapter/10.1007/978-3-032-06531-5_94

BibTex

@inproceedings{BUT199545,
  author="Roman {Jakubíček} and Petr {Ouředníček} and  {} and  {} and  {} and Jiří {Chmelík}",
  title="Towards Improved Breast MRI Analysis: Co-Registration and Segmentation Model for Oncological Applications",
  booktitle="CMBEBIH 2025",
  year="2026",
  journal="IFMBE Proceedings",
  volume="133",
  number="April",
  pages="1045--1053",
  publisher="Springer",
  address="Cham",
  doi="10.1007/978-3-032-06531-5\{_}94",
  isbn="978-3-032-06530-8",
  issn="1680-0737",
  url="https://link.springer.com/chapter/10.1007/978-3-032-06531-5_94"
}