Lei Wang
Orcid: 0000-0003-3597-6989Affiliations:
- Wenzhou Medical University, Eye Hospital, School of Ophthalmology and Optometry, China
- Southeast University, MoE Key Laboratory of Computer Network and Information Integration, Nanjing, China
According to our database1,
Lei Wang
authored at least 22 papers
between 2017 and 2023.
Collaborative distances:
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Bibliography
2023
Automated segmentation of optic disc and cup depicted on color fundus images using a distance-guided deep learning strategy.
Biomed. Signal Process. Control., September, 2023
Automated segmentation of palpebral fissures from eye videography using a texture fusion neural network.
Biomed. Signal Process. Control., August, 2023
2022
Biomed. Signal Process. Control., 2022
EE-Net: An edge-enhanced deep learning network for jointly identifying corneal micro-layers from optical coherence tomography.
Biomed. Signal Process. Control., 2022
Biomed. Signal Process. Control., 2022
2021
Pattern Recognit., 2021
Automated segmentation of the optic disc from fundus images using an asymmetric deep learning network.
Pattern Recognit., 2021
Feasibility assessment of infectious keratitis depicted on slit-lamp and smartphone photographs using deep learning.
Int. J. Medical Informatics, 2021
2020
Signal Process., 2020
BG-CNN: A Boundary Guided Convolutional Neural Network for Corneal Layer Segmentation from Optical Coherence Tomography.
Proceedings of the ICBIP 2020: 5th International Conference on Biomedical Signal and Image Processing, 2020
Proceedings of the ICBIP 2020: 5th International Conference on Biomedical Signal and Image Processing, 2020
2019
Comput. Medical Imaging Graph., 2019
SDFN: Segmentation-based deep fusion network for thoracic disease classification in chest X-ray images.
Comput. Medical Imaging Graph., 2019
A coarse-to-fine deep learning framework for optic disc segmentation in fundus images.
Biomed. Signal Process. Control., 2019
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019
Automatic Classification of Exudates in Color Fundus Images Using an Augmented Deep Learning Procedure.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019
2018
Signal Process., 2018
Pattern Recognit., 2018
Performance assessment of the deep learning technologies in grading glaucoma severity.
CoRR, 2018
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease Classification in Chest X-ray Images.
CoRR, 2018
2017
Inf. Sci., 2017