Code for FEBrNet

Published: 14 November 2022| Version 1 | DOI: 10.17632/wyjy6pr445.1
Contributor:
Yitao Jiang

Description

The research on AI-assisted breast diagnosis has primarily been based on static images. It is unclear whether it represents the best diagnostic image. To explore the method of capturing complementary responsible frames from breast ultrasound screening, we developed a feature entropy breast network (FEBrNet) to select responsible frames from breast ultrasound screenings. This repository contains the code for FEBrNet and the necessary ultrasound screening demos.

Files

Institutions

Shenzhen People's Hospital Library

Categories

Ultrasound

License