Work

Enhanced Data Augmentation Using Synthetic Data for Brain Tumour Segmentation

Year: 2024

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-031-76163-8_8

Authors: André Ferreira, Naida Solak, Jianning Li, Philipp Dammann, Jens Kleesiek, Victor Alves, Jan Egger

Institutions: Computer Algorithms for Medicine, Stiftung Universitätsmedizin Essen, University of Minho, Graz University of Technology, Essen University Hospital, Deutsches Konsortium für Translationale Krebsforschung

Language: English

Topic: Brain Tumor Detection and Classification

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Austrian Science Fund, Fundação para a Ciência e a Tecnologia, European Regional Development Fund

Awards: G2736903870, G3529690260, Virtual and Augmented Reality Module for 3D Reconstruction, G6313709104, G7574042020, Centro de Investigação ALGORITMI, enFaced 2.0 - Instant AR Tool for Maxillofacial Surgery

OpenAlex ID: W4405823797

FWCI: 10.14

Cites: 34

Cited by: 73

Related to: 10