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 …

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 …

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 …

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 …

[HTML][HTML] An intelligent auxiliary framework for bone malignant tumor lesion segmentation in medical image analysis

X Zhan, J Liu, H Long, J Zhu, H Tang, F Gou, J Wu - Diagnostics, 2023 - mdpi.com
Bone malignant tumors are metastatic and aggressive, with poor treatment outcomes and
prognosis. Rapid and accurate diagnosis is crucial for limb salvage and increasing the …

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 …

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 …

[HTML][HTML] A multimodal auxiliary classification system for osteosarcoma histopathological images based on deep active learning

F Gou, J Liu, J Zhu, J Wu - Healthcare, 2022 - mdpi.com
Histopathological examination is an important criterion in the clinical diagnosis of
osteosarcoma. With the improvement of hardware technology and computing power …

Medical assisted-segmentation system based on global feature and stepwise feature integration for feature loss problem

Z Huang, Z Ling, F Gou, J Wu - Biomedical Signal Processing and Control, 2024 - Elsevier
This paper presents an advanced methodology that combines Convolutional Neural
Networks (CNNs) and Transformers to tackle the issue of feature loss and elevate …

[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 …