Multimodal and Multitask Approaches for Cataract Grading-Reference-Cited by-同舟云学术

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Multimodal and Multitask Approaches for Cataract Grading

Published:2024-01-04 Issue: Volume:2020 Page:290-297
ISSN:
Container-title:Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)
language:
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Author:

Saxena Prakanshul¹^ORCID,Gupta Gagan Raj²^ORCID,Bhattad Madhur¹^ORCID

Affiliation:

1. IIT Bhilai, India

2. Computer Science and Engineering, IIT Bhilai, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3632410.3632440

Reference31 articles.

1. Automatic Feature Learning to Grade Nuclear Cataracts Based on Deep Learning

2. Tournament Based Ranking CNN for the Cataract grading

3. Unified Diagnosis Framework for Automated Nuclear Cataract Grading Based on Smartphone Slit-Lamp Images

4. [4] Li H. et al., “Image based diagnosis of cortical cataract,” Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:3904-7.

5. Automatic opacity detection in retro-illumination images for cortical cataract diagnosis

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