Multi-level semantic adaptation for few-shot segmentation on cardiac image sequences-Reference-Cited by-同舟云学术

Multi-level semantic adaptation for few-shot segmentation on cardiac image sequences

Published:2021-10 Issue: Volume:73 Page:102170
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Guo Saidi,Xu Lin,Feng Cheng,Xiong Huahua,Gao Zhifan,Zhang Heye

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

Reference109 articles.

1. Associative alignment for few-shot image classification;Afrasiyabi,2020

2. Infinite mixture prototypes for few-shot learning;Allen,2019

3. One-shot learning for semantic segmentation;Amirreza,2017

4. Improved few-shot visual classification;Bateni,2020

5. Few-shot video classification via temporal alignment;Cao,2020

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