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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence / EAAI-20

Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis

February 1, 2023

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Authors

Rongchang Zhao

Central South University


Wangmin Liao

Central South University


Beiji Zou

Central South University


Zailiang Chen

Central South University


Shuo Li

University of Western Ontario


DOI:

10.1609/aaai.v33i01.3301809


Abstract:

Evidence identification, optic disc segmentation and automated glaucoma diagnosis are the most clinically significant tasks for clinicians to assess fundus images. However, delivering the three tasks simultaneously is extremely challenging due to the high variability of fundus structure and lack of datasets with complete annotations. In this paper, we propose an innovative Weakly-Supervised Multi-Task Learning method (WSMTL) for accurate evidence identification, optic disc segmentation and automated glaucoma diagnosis. The WSMTL method only uses weak-label data with binary diagnostic labels (normal/glaucoma) for training, while obtains pixel-level segmentation mask and diagnosis for testing. The WSMTL is constituted by a skip and densely connected CNN to capture multi-scale discriminative representation of fundus structure; a well-designed pyramid integration structure to generate high-resolution evidence map for evidence identification, in which the pixels with higher value represent higher confidence to highlight the abnormalities; a constrained clustering branch for optic disc segmentation; and a fully-connected discriminator for automated glaucoma diagnosis. Experimental results show that our proposed WSMTL effectively and simultaneously delivers evidence identification, optic disc segmentation (89.6% TP Dice), and accurate glaucoma diagnosis (92.4% AUC). This endows our WSMTL a great potential for the effective clinical assessment of glaucoma.

Topics: AAAI

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HOW TO CITE:

Rongchang Zhao||Wangmin Liao||Beiji Zou||Zailiang Chen||Shuo Li Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis Proceedings of the AAAI Conference on Artificial Intelligence (2019) 809-816.

Rongchang Zhao||Wangmin Liao||Beiji Zou||Zailiang Chen||Shuo Li Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis AAAI 2019, 809-816.

Rongchang Zhao||Wangmin Liao||Beiji Zou||Zailiang Chen||Shuo Li (2019). Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis. Proceedings of the AAAI Conference on Artificial Intelligence, 809-816.

Rongchang Zhao||Wangmin Liao||Beiji Zou||Zailiang Chen||Shuo Li. Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis. Proceedings of the AAAI Conference on Artificial Intelligence 2019 p.809-816.

Rongchang Zhao||Wangmin Liao||Beiji Zou||Zailiang Chen||Shuo Li. 2019. Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis. "Proceedings of the AAAI Conference on Artificial Intelligence". 809-816.

Rongchang Zhao||Wangmin Liao||Beiji Zou||Zailiang Chen||Shuo Li. (2019) "Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis", Proceedings of the AAAI Conference on Artificial Intelligence, p.809-816

Rongchang Zhao||Wangmin Liao||Beiji Zou||Zailiang Chen||Shuo Li, "Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis", AAAI, p.809-816, 2019.

Rongchang Zhao||Wangmin Liao||Beiji Zou||Zailiang Chen||Shuo Li. "Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis". Proceedings of the AAAI Conference on Artificial Intelligence, 2019, p.809-816.

Rongchang Zhao||Wangmin Liao||Beiji Zou||Zailiang Chen||Shuo Li. "Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis". Proceedings of the AAAI Conference on Artificial Intelligence, (2019): 809-816.

Rongchang Zhao||Wangmin Liao||Beiji Zou||Zailiang Chen||Shuo Li. Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis. AAAI[Internet]. 2019[cited 2023]; 809-816.


ISSN: 2374-3468


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