妇科肿瘤学的当前趋势

抽象的

Optimizing Treatment Response Prediction in Locally Advanced Cervical Cancer Radiotherapy with Spatial and Task Attention Networks

Ozlem Erten

Cervical cancer is a significant global health concern, and advancements in radiotherapy have played a crucial role in improving treatment outcomes. Locally advanced cervical cancer poses unique challenges due to the complex interplay of anatomical structures and varying tumor responses. Recent developments in medical imaging and artificial intelligence (AI) have paved the way for innovative approaches to treatment response prediction. One such promising avenue involves the integration of Spatial and Task Attention Networks.