Inter – intra observer variability using deep learning and traditional image processing for breast cancer

Ahmed Almazroa, Barrak Alsomaie, Najd Alluhaydan, Amal Alhaidary,Mohammed Fahim,Wadood Abdul,Mohammed Alawad, Altaf Khan, Ebtihal Alenezi, Taghreed almotairi, AlJowharah Alyahya, Raghad Alfulayj, Manar Althobaiti, Jawaher bin Maythir

2020 13th International Conference on Developments in eSystems Engineering (DeSE)（2020）

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摘要

Breast cancer is one of the most common life-threatening diseases that affects women globally. Saudi Arabia is also one of the countries that suffer from a serious number of this disease among women. In terms of diagnosis modalities, a mammogram is the first line for detecting breast cancer. In addition, breast cancer can be screened by real-time ultrasound images, which are of relatively less qua...

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关键词

Deep learning,Training,Ultrasonic imaging,Sensitivity and specificity,Observers,Breast cancer,Real-time systems

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