Lung cancer has one of the highest mortality rates of all cancers and poses a severe threat
to people's health. Therefore, diagnosing lung nodules at an early stage is crucial to …

Automatic and accurate segmentation of pulmonary nodules in CT images can help
physicians perform more accurate quantitative analysis, diagnose diseases, and improve …

Skin lesion segmentation is a challenging task due to the large variation of anatomy across
different cases. In the last few years, deep learning frameworks have shown high …

The human visual cortex is biased towards shape components while CNNs produce texture
biased features. This fact may explain why the performance of CNN significantly degrades …

There have been major developments in deep learning in computer vision since the 2010s.
Deep learning has contributed to a wealth of data in medical image processing, and …

Globally, lung cancer has a high fatality rate and is a lethal disease. Since lung cancer
affects both men and women, it requires extra consideration when evaluating various …

Background Semantic segmentation plays an indispensable role in clinical diagnosis
support, intelligent surgical assistance, personalized treatment planning, and drug …

With the continuous expansion of wine grape planting areas, the mechanization and
intelligence of grape harvesting have gradually become the future development trend. In …

Objectives An artificial intelligence model was adopted to identify mild COVID-19
pneumonia from computed tomography (CT) volumes, and its diagnostic performance was …

Accurate automatic segmentation of pulmonary nodules can greatly assist in the early
clinical diagnosis and analysis of lung cancer. However, it remains a challenging task due to …