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 …

Artificial intelligence-aided diagnosis solution by enhancing the edge features of medical images

B Lv, F Liu, Y Li, J Nie, F Gou, J Wu - Diagnostics, 2023 - mdpi.com
Bone malignant tumors are metastatic and aggressive. The manual screening of medical
images is time-consuming and laborious, and computer technology is now being introduced …

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 …

Intelligent assistant diagnosis system of osteosarcoma MRI image based on transformer and convolution in developing countries

Z Ling, S Yang, F Gou, Z Dai… - IEEE Journal of Biomedical …, 2022 - ieeexplore.ieee.org
Osteosarcoma is a malignant bone tumor commonly found in adolescents or children, with
high incidence and poor prognosis. Magnetic resonance imaging (MRI), which is the more …

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 …

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 …

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 …

A medical assistant segmentation method for MRI images of osteosarcoma based on DecoupleSegNet

J Wu, Y Guo, F Gou, Z Dai - International Journal of Intelligent …, 2022 - Wiley Online Library
Nowadays, the most common primary bone tumor is osteosarcoma, which mostly occurs in
teenagers. A common diagnosis method is currently that doctors manually diagnose …