Deep Learning Based Analysis of Histopathological Images of Breast Cancer.

ABSTRACT: Breast cancer is associated with the highest morbidity rates for cancer diagnoses in the world and has become a major public health issue. Early diagnosis can increase the chance of successful treatment and survival. However, it is a very challenging and time-consuming task that relies on the experience of pathologists. The automatic diagnosis of breast cancer by analyzing histopathological images plays a significant role for patients and their prognosis. However, traditional feature extraction methods can only extract some low-level features of images, and prior knowledge is necessary to select useful features, which can be greatly affected by humans. Deep learning techniques can extract high-level abstract features from images automatically. Therefore, we introduce it to analyze histopat

SUBMITTER: Xie J 

PROVIDER: S-EPMC6390493 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature