To meet the needs of automated medical analysis of brain tumor magnetic resonance imaging, this study introduces an enhanced instance segmentation method built upon mask region-based convolutional ...

Segmenting brain tumors is a crucial step in neuro-oncology that helps with accurate diagnosis, therapy planning, and therapeutic oversight. In this study, we developed the IC-Net (Inverted-C) ...

The brain is responsible for the "general command" of human thinking and coordination of the body. Thus, various brain diseases can cause great damage to the human body and nervous system. Brain ...

Through a comprehensive evaluation of model complexity and number of parameters, it was determined that the overall performance of the proposed model is the best when eight group convolutions are used ...