Nature

Enhanced glioma semantic segmentation using U-net and pre-trained backbone U-net architectures

Glioma tumors represent a formidable challenge in oncology, characterized by their aggressive nature and diverse clinical manifestations. These kinds of tumors originate from glial cells, which ...
Nature

The application of pre-trained large visual-language models for preliminary diagnosis of esophageal whitish plaques in large-scale esophageal cancer screening

Esophageal whitish plaques are common findings in large-scale esophageal cancer screenings, requiring accurate preliminary differentiation to guide appropriate clinical management. This study presents ...