整合雲端標記系統、醫療影像模型資料庫、醫療AI技術如顯像熱力圖配搭多種模型,以仿照醫師的多視角判斷建立乳篩人工智慧助理,能提升乳房篩檢的精準度;透過三階段式的乳篩流程可快速於10天內提供檢查結果,讓癌症高風險族群能及早獲得治療。
This technique combines cloud labeling systems, medical imaging model databases, and medical AI techniques (such as visualized heat maps) with multiple models. It establishes an AI breast cancer screening assistant by multi-perspective determination like doctors to improve screening accuracy. The three-stage breast cancer screening process rapidly provides results in 10 days to enable early treatments for people with high cancer risks.