Meta Ordinal Regression Forest for Medical Image Classification With Ordinal Labels-Reference-Cited by-同舟云学术

Meta Ordinal Regression Forest for Medical Image Classification With Ordinal Labels

Published:2022-07 Issue:7 Volume:9 Page:1233-1247
ISSN:2329-9266
Container-title:IEEE/CAA Journal of Automatica Sinica
language:
Short-container-title:IEEE/CAA J. Autom. Sinica

Author:

Lei Yiming¹,Zhu Haiping²,Zhang Junping¹,Shan Hongming³

Affiliation:

1. Shanghai Key Laboratory of Intelligent Information Processing, The School of Computer Science, Fudan University,Shanghai,China,200433

2. Shanghai Key Laboratory of Intelligent Information Processing, The School of Computer Science, Fudan University,Shanghai,200433

3. Institute of Science and Technology for Brain-Inspired Intelligence and MOE Frontiers Center for Brain Science, Fudan University,Shanghai,200433

Funder

Natural Science Foundation of Shanghai

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Control and Optimization

Link

http://xplorestaging.ieee.org/ielx7/6570654/9812517/09812536.pdf?arnumber=9812536

Reference61 articles.

1. Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning

2. Breast tumor classification in ultrasound images using support vector machines and neural networks

3. 3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network

4. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Proc Int Conf Medical Image Computing and Computer-Assisted Intervention,0

5. CurveNet: Curvature-Based Multitask Learning Deep Networks for 3D Object Recognition

Cited by 19 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. Batch subproblem coevolution with gaussian process-driven linear models for expensive multi-objective optimization;Swarm and Evolutionary Computation;2024-12

2. CORE: Learning consistent ordinal representations with convex optimization for image ordinal estimation;Pattern Recognition;2024-12

3. Meta-learning in Healthcare: A Survey;SN Computer Science;2024-08-12

4. Single channel speech enhancement using time-frequency attention mechanism based nested U-net model;Engineering Research Express;2024-07-15

5. A Local-Global Attention Fusion Framework with Tensor Decomposition for Medical Diagnosis;IEEE/CAA Journal of Automatica Sinica;2024-06