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 …

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 …

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 …

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 …

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 …

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 …

Enhancing brain tumor segmentation accuracy through scalable federated learning with advanced data privacy and security measures

F Ullah, M Nadeem, M Abrar, F Amin, A Salam, S Khan - Mathematics, 2023 - mdpi.com
Brain tumor segmentation in medical imaging is a critical task for diagnosis and treatment
while preserving patient data privacy and security. Traditional centralized approaches often …

A novel medical decision-making system based on multi-scale feature enhancement for small samples

K He, Y Qin, F Gou, J Wu - Mathematics, 2023 - mdpi.com
The medical decision-making system is an advanced system for patients that can assist
doctors in their medical work. Osteosarcoma is a primary malignant tumor of the bone, due …

Image segmentation technology based on transformer in medical decision‐making system

K He, F Gou, J Wu - IET Image Processing, 2023 - Wiley Online Library
Due to the improvement in computing power and the development of computer technology,
deep learning has pene‐trated into various fields of the medical industry. Segmenting lesion …

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 …