Nature

An accurate semantic segmentation model for bean seedlings and weeds identification based on improved ERFnet

In agricultural production activities, the growth of crops always accompanies the competition of weeds for nutrients and sunlight. In order to mitigate the adverse effects of weeds on yield, we apply ...
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 ...