A groundbreaking study published in BME Frontiers has unveiled Ves-GAN, an unsupervised vessel-targeted denoising framework specifically developed to ...

In1956,asmallconferenceroominDartmouthignitedtheterm'artificialintelligence.'Nearlyseventyyearslater,wef… ...

Abstract: Diabetic Retinopathy (DR) is a progressive retinal disease and a leading cause of blindness, necessitating early detection and precise classification for effective treatment. Manual ...

The core of big data models lies in the synergy of algorithm innovation, computational power support, and data governance to ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...

ABSTRACT: High-quality data is essential for hospitals, public health agencies, and governments to improve services, train AI models, and boost efficiency. However, real data comes with challenges: ...

Abstract: The classification of skin lesions using deep learning models has made significant advancements, particularly in enhancing the early detection and diagnosis of skin cancer, such as melanoma.

This project is dedicated to explore the best cost-performance value of deploying ResNet model in different sizes of database.