4.6 Article

FaxMatch: Multi-Curriculum Pseudo-Labeling for semi-supervised medical image classification

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation

Yu-Huan Wu et al.

Summary: This paper proposes a novel JCS system for real-time and explainable COVID-19 chest CT diagnosis, trained on a large COVID-CS dataset. The system achieves efficient classification and segmentation results with high sensitivity and specificity for COVID-19 patients.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2021)

Article Computer Science, Artificial Intelligence

Sentiment analysis via semi-supervised learning: a model based on dynamic threshold and multi-classifiers

Yue Han et al.

NEURAL COMPUTING & APPLICATIONS (2020)

Article Computer Science, Interdisciplinary Applications

Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment

Andres Diaz-Pinto et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)

Proceedings Paper Computer Science, Artificial Intelligence

Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations

Gerda Bortsova et al.

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT VI (2019)

Proceedings Paper Computer Science, Artificial Intelligence

Densely Connected Convolutional Networks

Gao Huang et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Article Computer Science, Artificial Intelligence

Multi-Modal Curriculum Learning for Semi-Supervised Image Classification

Chen Gong et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2016)