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 …

An attention-based AI-assisted segmentation system for osteosarcoma MRI images

F Gou, J Wu - 2022 IEEE international conference on …, 2022 - ieeexplore.ieee.org
Osteosarcoma is one of the common malignant bone tumors, which is great harm to human
health. Magnetic resonance imaging (MRI) is a common method for osteosarcoma detection …

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 …

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 …

Multiple supervised residual network for osteosarcoma segmentation in CT images

R Zhang, L Huang, W Xia, B Zhang, B Qiu… - … Medical Imaging and …, 2018 - Elsevier
Automatic and accurate segmentation of osteosarcoma region in CT images can help doctor
make a reasonable treatment plan, thus improving cure rate. In this paper, a multiple …

[HTML][HTML] 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 …

[HTML][HTML] 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 …

[HTML][HTML] Auxiliary segmentation method of osteosarcoma in MRI images based on denoising and local enhancement

L Wang, L Yu, J Zhu, H Tang, F Gou, J Wu - Healthcare, 2022 - mdpi.com
Osteosarcoma is a bone tumor which is malignant. There are many difficulties when doctors
manually identify patients' MRI images to complete the diagnosis. The osteosarcoma in MRI …

A medically assisted model for precise segmentation of osteosarcoma nuclei on pathological images

J Wu, T Yuan, J Zeng, F Gou - IEEE Journal of Biomedical and …, 2023 - ieeexplore.ieee.org
Osteosarcoma is the most common malignant bone tumor with a high degree of malignancy
and misdiagnosis rates. Pathological images are crucial for its diagnosis. However …

[HTML][HTML] Osteosarcoma MRI image-assisted segmentation system base on guided aggregated bilateral network

Y Shen, F Gou, Z Dai - Mathematics, 2022 - mdpi.com
Osteosarcoma is a primary malignant tumor. It is difficult to cure and expensive to treat.
Generally, diagnosis is made by analyzing MRI images of patients. In the process of clinical …