A new study has proposed a hybrid strategy enhanced crayfish optimization algorithm (MSCOA) for breast cancer prediction. The MSCOA combines Extrem...
A new model, EBSDC-AIFFT, has been developed to improve brain stroke detection and classification for individuals with disabilities using biomedica...
A recent study conducted at Severance Cardiovascular Hospital in Seoul, Korea, has explored the use of three-dimensional (3D) agitated saline contr...
DeepISLES, an algorithm developed from the ISLES'22 challenge, has demonstrated significant potential in ischemic stroke segmentation. The challeng...
The DeepISLES algorithm, developed from the ISLES'22 challenge, has demonstrated significant advancements in ischemic stroke lesion segmentation. T...
The CAS-Colon dataset has been developed to support AI-driven anatomical segmentation in colonoscopy videos. It includes 78 high-quality videos wit...
A recent study has introduced a novel approach to 3D reconstruction from sparse ultrasound images using implicit neural representation (INR). This ...
A study has explored the use of quantum annealing for feature selection in light-weight medical image datasets. The research focused on optimizing ...
A study has implemented and compared various machine learning models to improve the early diagnosis of mucopolysaccharidosis (MPS), a rare metaboli...
Researchers have developed a quantum annealing feature selection method for lightweight medical image datasets. This approach aims to optimize feat...