Deep learning and artificial intelligence in sustainability: a review of SDGs, renewable energy, and environmental health

Z Fan, Z Yan, S Wen - Sustainability, 2023 - mdpi.com
Artificial intelligence (AI) and deep learning (DL) have shown tremendous potential in
driving sustainability across various sectors. This paper reviews recent advancements in AI …

Artificial intelligence and machine learning based intervention in medical infrastructure: a review and future trends

K Kumar, P Kumar, D Deb, ML Unguresan, V Muresan - Healthcare, 2023 - mdpi.com
People in the life sciences who work with Artificial Intelligence (AI) and Machine Learning
(ML) are under increased pressure to develop algorithms faster than ever. The possibility of …

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 …

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 …

An innovative solution based on TSCA-ViT for osteosarcoma diagnosis in resource-limited settings

Z He, J Liu, F Gou, J Wu - Biomedicines, 2023 - mdpi.com
Identifying and managing osteosarcoma pose significant challenges, especially in resource-
constrained developing nations. Advanced diagnostic methods involve isolating the nucleus …

Artificial intelligence auxiliary diagnosis and treatment system for breast cancer in developing countries

W Li, F Gou, J Wu - Journal of X-Ray Science and Technology, 2024 - content.iospress.com
BACKGROUND: In many developing countries, a significant number of breast cancer
patients are unable to receive timely treatment due to a large population base, high patient …

A tumor MRI image segmentation framework based on class-correlation pattern aggregation in medical decision-making system

H Wei, B Lv, F Liu, H Tang, F Gou, J Wu - Mathematics, 2023 - mdpi.com
Medical image analysis methods have been applied to clinical scenarios of tumor diagnosis
and treatment. Many studies have attempted to optimize the effectiveness of tumor MRI …

Two‐stage coarse‐to‐fine method for pathological images in medical decision‐making systems

K He, J Zhu, L Li, F Gou, J Wu - IET Image Processing, 2024 - Wiley Online Library
Artificial intelligence decision systems play an important supporting role in the field of
medical information. Medical image analysis is an important part of decision systems and an …