Auto-DenseUNet: Searchable neural network architecture for mass segmentation in 3D automated breast ultrasound-Reference-Cited by-同舟云学术

Auto-DenseUNet: Searchable neural network architecture for mass segmentation in 3D automated breast ultrasound

Published:2022-11 Issue: Volume:82 Page:102589
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Cao Xuyang^ORCID,Chen Houjin,Li Yanfeng,Peng Yahui,Zhou Yue,Cheng Lin,Liu Tianming,Shen Dinggang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference63 articles.

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3. Resource optimized neural architecture search for 3D medical image segmentation;Bae,2019

4. Brain tumor segmentation based on 3D neighborhood features using rule-based learning;Barzegar,2019

5. Dilated densely connected U-net with uncertainty focus loss for 3D ABUS mass segmentation;Cao;Comput. Methods Programs Biomed.,2021

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