Combo loss: Handling input and output imbalance in multi-organ segmentation-Reference-Cited by-同舟云学术

Combo loss: Handling input and output imbalance in multi-organ segmentation

Published:2019-07 Issue: Volume:75 Page:24-33
ISSN:0895-6111
Container-title:Computerized Medical Imaging and Graphics
language:en
Short-container-title:Computerized Medical Imaging and Graphics

Author:

Taghanaki Saeid Asgari,Zheng Yefeng,Kevin Zhou S.,Georgescu Bogdan,Sharma Puneet,Xu Daguang,Comaniciu Dorin,Hamarneh Ghassan^ORCID

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

Reference34 articles.

1. Tumor lesion segmentation from 3D PET using a machine learning driven active surface;Ahmadvand,2016

2. SegNet: a deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;IEEE Trans. Pattern Anal. Mach. Intell.,2017

3. An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation;Baumgartner,2017

4. Data From QIN-HEADNECK;Beichel,2015

5. Curriculum learning;Bengio,2009

Cited by 255 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GCN-Enhanced Spatial-Spectral Dual-Encoder Network for Simultaneous Segmentation of Retinal Layers and Fluid in OCT Images;Biomedical Signal Processing and Control;2024-12

2. SeismoNet: A proximal policy optimization-based earthquake early warning system using dilated convolution layers and online data augmentation;Expert Systems with Applications;2024-11

3. MPSU-Net: Quantitative interpretation algorithm for road cracks based on multiscale feature fusion and superimposed U-Net;Digital Signal Processing;2024-10

4. DLGRAFE-Net: A double loss guided residual attention and feature enhancement network for polyp segmentation;PLOS ONE;2024-09-12

5. MOS-GAN: A U-Net++ based GAN for multi-organ segmentation;Biomedical Signal Processing and Control;2024-09