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3D Inception U‐net with Asymmetric Loss for Cancer Detection in Automated Breast Ultrasound
Medical Physics ( IF 3.2 ) Pub Date : 2020-07-13 , DOI: 10.1002/mp.14389
Yi Wang 1 , Chenchen Qin 1 , Chuanlu Lin 1 , Lin Di 2 , Min Xu 3 , Xiao Luo 3 , Tianfu Wang 1 , Anhua Li 3 , Dong Ni 1
Affiliation  

Breast cancer is the most common cancer and the leading cause of cancer‐related deaths for women all over the world. Recently, automated breast ultrasound (ABUS) has become a new and promising screening modality for whole breast examination. However, reviewing volumetric ABUS is time‐consuming and lesions could be missed during the examination. Therefore, computer‐aided cancer detection in ABUS volume is extremely expected to help clinician for the breast cancer screening.

中文翻译:

具有不对称损失的3D起始U-net,用于自动乳房超声检查中的癌症检测

乳腺癌是最常见的癌症,也是全世界女性与癌症相关的死亡的主要原因。最近,自动乳房超声检查(ABUS)已成为一种用于全乳腺检查的新颖且有希望的筛查方法。但是,复查体积ABUS很费时间,并且在检查过程中可能会遗漏病变。因此,非常希望以计算机辅助方式检测ABUS量的癌症,这将有助于临床医生进行乳腺癌筛查。
更新日期:2020-07-13
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