BA‐GCA Net: Boundary‐Aware Grid Contextual Attention Net in Osteosarcoma MRI Image Segmentation

J Wu, Z Liu, F Gou, J Zhu, H Tang… - Computational …, 2022 - Wiley Online Library
Osteosarcoma is one of the most common bone tumors that occurs in adolescents. Doctors
often use magnetic resonance imaging (MRI) through biosensors to diagnose and predict …

Rethinking U‐net from an attention perspective with transformers for osteosarcoma MRI image segmentation

T Ouyang, S Yang, F Gou, Z Dai… - Computational …, 2022 - Wiley Online Library
Osteosarcoma is one of the most common primary malignancies of bone in the pediatric and
adolescent populations. The morphology and size of osteosarcoma MRI images often show …

An attention-preserving network-based method for assisted segmentation of osteosarcoma MRI images

F Liu, F Gou, J Wu - Mathematics, 2022 - mdpi.com
Osteosarcoma is a malignant bone tumor that is extremely dangerous to human health. Not
only does it require a large amount of work, it is also a complicated task to outline the lesion …

Auxiliary segmentation method of osteosarcoma MRI image based on transformer and U‐Net

F Liu, J Zhu, B Lv, L Yang, W Sun, Z Dai… - Computational …, 2022 - Wiley Online Library
One of the most prevalent malignant bone tumors is osteosarcoma. The diagnosis and
treatment cycle are long and the prognosis is poor. It takes a lot of time to manually identify …

LKAU-Net: 3D large-kernel attention-based u-net for automatic MRI brain tumor segmentation

H Li, Y Nan, G Yang - Annual conference on medical image understanding …, 2022 - Springer
Automatic segmentation of brain tumors from multi-modal magnetic resonance images (MRI)
using deep learning methods has emerged in assisting the diagnosis and treatment of brain …

A residual fusion network for osteosarcoma MRI image segmentation in developing countries

J Wu, L Zhou, F Gou, Y Tan - Computational Intelligence and …, 2022 - Wiley Online Library
Among primary bone cancers, osteosarcoma is the most common, peaking between the
ages of a child's rapid bone growth and adolescence. The diagnosis of osteosarcoma …

DAUnet: A U-shaped network combining deep supervision and attention for brain tumor segmentation

Y Feng, Y Cao, D An, P Liu, X Liao, B Yu - Knowledge-Based Systems, 2024 - Elsevier
In MRI images, the brain tumor area varies greatly between individuals, and only relying on
the judgment of clinicians is prone to misdiagnosis and misjudgment. Consequently, utilizing …

[HTML][HTML] TransConver: transformer and convolution parallel network for developing automatic brain tumor segmentation in MRI images

J Liang, C Yang, M Zeng, X Wang - Quantitative Imaging in …, 2022 - ncbi.nlm.nih.gov
Background Medical image segmentation plays a vital role in computer-aided diagnosis
(CAD) systems. Both convolutional neural networks (CNNs) with strong local information …

Double attention U-Net for brain tumor MR image segmentation

N Li, K Ren - International Journal of Intelligent Computing and …, 2021 - emerald.com
Purpose Automatic segmentation of brain tumor from medical images is a challenging task
because of tumor's uneven and irregular shapes. In this paper, the authors propose an …

AI-assisted diagnosis and decision-making method in developing countries for osteosarcoma

H Tang, H Huang, J Liu, J Zhu, F Gou, J Wu - Healthcare, 2022 - mdpi.com
Osteosarcoma is a malignant tumor derived from primitive osteogenic mesenchymal cells,
which is extremely harmful to the human body and has a high mortality rate. Early diagnosis …