Transformers in healthcare: A survey

S Nerella, S Bandyopadhyay, J Zhang… - arXiv preprint arXiv …, 2023 - arxiv.org
With Artificial Intelligence (AI) increasingly permeating various aspects of society, including
healthcare, the adoption of the Transformers neural network architecture is rapidly changing …

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 …

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 …

Recent advances of transformers in medical image analysis: a comprehensive review

K Xia, J Wang - MedComm–Future Medicine, 2023 - Wiley Online Library
Recent works have shown that Transformer's excellent performances on natural language
processing tasks can be maintained on natural image analysis tasks. However, the …

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 …

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 …