Yolact-based Approach for Real-Time Fetal Heart Segmentation
Author:
Affiliation:
1. Universitas Sriwijaya,Intelligent System Research Group, Faculty of Computer Science,Palembang,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10275799/10276405/10277564.pdf?arnumber=10277564
Reference25 articles.
1. Automated image segmentation for cardiac septal defects based on contour region with convolutional neural networks: A preliminary study
2. Accurate Detection of Septal Defects With Fetal Ultrasonography Images Using Deep Learning-Based Multiclass Instance Segmentation
3. SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound
4. Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
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