Multi-region saliency-aware learning for cross-domain placenta image segmentation-Reference-Cited by-同舟云学术

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Multi-region saliency-aware learning for cross-domain placenta image segmentation

Published:2020-12 Issue: Volume:140 Page:165-171
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Zhang Zhuomin,Davaasuren Dolzodmaa,Wu Chenyan,Goldstein Jeffery A.,Gernand Alison D.^ORCID,Wang James Z.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference26 articles.

1. Attention-GAN for object transfiguration in wild images;Chen,2018

2. Placentanet: automatic morphological characterization of placenta photos with deep learning;Chen,2019

3. Ai-plax: Ai-based placental assessment and examination using photos;Chen;Comput. Med. Imaging Graph.,2020

4. Crdoco: pixel-level domain transfer with cross-domain consistency;Chen,2019

5. An introduction to ROC analysis;Fawcett;Pattern Recognit. Lett.,2006

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