Magnetic resonance image-based brain tumour segmentation methods: A systematic review

JM Bhalodiya, SN Lim Choi Keung… - Digital Health, 2022 - journals.sagepub.com
Background Image segmentation is an essential step in the analysis and subsequent
characterisation of brain tumours through magnetic resonance imaging. In the literature …

A data augmentation method for fully automatic brain tumor segmentation

Y Wang, Y Ji, H Xiao - Computers in Biology and Medicine, 2022 - Elsevier
Automatic segmentation of glioma and its subregions is of great significance for diagnosis,
treatment and monitoring of disease. In this paper, an augmentation method, called …

PSR-Nets: Deep neural networks with prior shift regularization for PET/CT based automatic, accurate, and calibrated whole-body lymphoma segmentation

M Wang, H Jiang, T Shi, Z Wang, J Guo, G Lu… - Computers in Biology …, 2022 - Elsevier
Lymphoma is a type of lymphatic tissue originated cancer. Automatic and accurate
lymphoma segmentation is critical for its diagnosis and prognosis yet challenging due to the …

TensorMixup Data Augmentation Method for Fully Automatic Brain Tumor Segmentation

W Yu, J Yarong - 2022 26th International Conference on …, 2022 - ieeexplore.ieee.org
Automatic segmentation of glioma and its subregions is of great significance for diagnosis,
treatment and monitoring of disease. In this paper, an augmentation method, called …

[PDF][PDF] Magnetic resonance image-based brain tumour segmentation methods

JM Bhalodiya, LC Keung, TN Arvanitis - 2022 - pure-oai.bham.ac.uk
Background: Image segmentation is an essential step in the analysis and subsequent
characterisation of brain tumours through magnetic resonance imaging. In the literature …