Bag of Tricks for Diabetic Retinopathy Grading of Ultra-Wide Optical Coherence Tomography Angiography Images

Renyu Li; Yunchao Gu; Xinliang Wang; Sixu Lu

doi:10.1007/978-3-031-33658-4_3

Bag of Tricks for Diabetic Retinopathy Grading of Ultra-Wide Optical Coherence Tomography Angiography Images

Renyu Li^*
, Yunchao Gu
, Xinliang Wang
, Sixu Lu

^*此作品的通讯作者

计算机学院

Beihang University
Beijing Normal University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

The performance of disease classification can be improved through improvements in the training process, such as changes in data augmentation, optimization methods, and deep learning model architectures. In the Diabetic Retinopathy Analysis Challenge, we employ a series of techniques to enhance the performance of the diabetic retinopathy grading. In this paper, we examine a collection of these improvements and empirically evaluate their impact on the final model accuracy through experiments. Experiments show that these improvements can significantly improve the performance of the model. For this task, we use a single SeResNext to improve the validation score from 0.8322 to 0.8721.

源语言	英语
主期刊名	Mitosis Domain Generalization and Diabetic Retinopathy Analysis - MICCAI Challenges MIDOG 2022 and DRAC 2022, Held in Conjunction with MICCAI 2022, Proceedings
编辑	Bin Sheng, Marc Aubreville
出版商	Springer Science and Business Media Deutschland GmbH
页	26-30
页数	5
ISBN（印刷版）	9783031336577
DOI	https://doi.org/10.1007/978-3-031-33658-4_3
出版状态	已出版 - 2023
活动	25th International Conference on Medical Image Computing and Computer-Assisted Intervention , MICCAI 2022 - Singapore, 新加坡期限: 18 9月 2022 → 22 9月 2022

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	13597 LNCS
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	25th International Conference on Medical Image Computing and Computer-Assisted Intervention , MICCAI 2022
国家/地区	新加坡
市	Singapore
时期	18/09/22 → 22/09/22

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 3 良好健康与福祉

访问文件

10.1007/978-3-031-33658-4_3

其它文件与链接

链接到 Scopus 的出版物

引用此

Li, R., Gu, Y., Wang, X., & Lu, S. (2023). Bag of Tricks for Diabetic Retinopathy Grading of Ultra-Wide Optical Coherence Tomography Angiography Images. 在 B. Sheng, & M. Aubreville (编辑), Mitosis Domain Generalization and Diabetic Retinopathy Analysis - MICCAI Challenges MIDOG 2022 and DRAC 2022, Held in Conjunction with MICCAI 2022, Proceedings (页码 26-30). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 13597 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-33658-4_3

Li, Renyu ; Gu, Yunchao ; Wang, Xinliang 等. / Bag of Tricks for Diabetic Retinopathy Grading of Ultra-Wide Optical Coherence Tomography Angiography Images. Mitosis Domain Generalization and Diabetic Retinopathy Analysis - MICCAI Challenges MIDOG 2022 and DRAC 2022, Held in Conjunction with MICCAI 2022, Proceedings. 编辑 / Bin Sheng ; Marc Aubreville. Springer Science and Business Media Deutschland GmbH, 2023. 页码 26-30 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{5f7d9e43f02346f582691515a6599852,

title = "Bag of Tricks for Diabetic Retinopathy Grading of Ultra-Wide Optical Coherence Tomography Angiography Images",

abstract = "The performance of disease classification can be improved through improvements in the training process, such as changes in data augmentation, optimization methods, and deep learning model architectures. In the Diabetic Retinopathy Analysis Challenge, we employ a series of techniques to enhance the performance of the diabetic retinopathy grading. In this paper, we examine a collection of these improvements and empirically evaluate their impact on the final model accuracy through experiments. Experiments show that these improvements can significantly improve the performance of the model. For this task, we use a single SeResNext to improve the validation score from 0.8322 to 0.8721.",

keywords = "Deep learning, Diabetic retinopathy grading, DRAC, Medical image analysis",

author = "Renyu Li and Yunchao Gu and Xinliang Wang and Sixu Lu",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 25th International Conference on Medical Image Computing and Computer-Assisted Intervention , MICCAI 2022 ; Conference date: 18-09-2022 Through 22-09-2022",

year = "2023",

doi = "10.1007/978-3-031-33658-4\_3",

language = "英语",

isbn = "9783031336577",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "26--30",

editor = "Bin Sheng and Marc Aubreville",

booktitle = "Mitosis Domain Generalization and Diabetic Retinopathy Analysis - MICCAI Challenges MIDOG 2022 and DRAC 2022, Held in Conjunction with MICCAI 2022, Proceedings",

address = "德国",

}

Li, R, Gu, Y, Wang, X & Lu, S 2023, Bag of Tricks for Diabetic Retinopathy Grading of Ultra-Wide Optical Coherence Tomography Angiography Images. 在 B Sheng & M Aubreville (编辑), Mitosis Domain Generalization and Diabetic Retinopathy Analysis - MICCAI Challenges MIDOG 2022 and DRAC 2022, Held in Conjunction with MICCAI 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 13597 LNCS, Springer Science and Business Media Deutschland GmbH, 页码 26-30, 25th International Conference on Medical Image Computing and Computer-Assisted Intervention , MICCAI 2022, Singapore, 新加坡, 18/09/22. https://doi.org/10.1007/978-3-031-33658-4_3

Bag of Tricks for Diabetic Retinopathy Grading of Ultra-Wide Optical Coherence Tomography Angiography Images. / Li, Renyu; Gu, Yunchao; Wang, Xinliang 等.
Mitosis Domain Generalization and Diabetic Retinopathy Analysis - MICCAI Challenges MIDOG 2022 and DRAC 2022, Held in Conjunction with MICCAI 2022, Proceedings. 编辑 / Bin Sheng; Marc Aubreville. Springer Science and Business Media Deutschland GmbH, 2023. 页码 26-30 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 13597 LNCS).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Bag of Tricks for Diabetic Retinopathy Grading of Ultra-Wide Optical Coherence Tomography Angiography Images

AU - Li, Renyu

AU - Gu, Yunchao

AU - Wang, Xinliang

AU - Lu, Sixu

PY - 2023

Y1 - 2023

N2 - The performance of disease classification can be improved through improvements in the training process, such as changes in data augmentation, optimization methods, and deep learning model architectures. In the Diabetic Retinopathy Analysis Challenge, we employ a series of techniques to enhance the performance of the diabetic retinopathy grading. In this paper, we examine a collection of these improvements and empirically evaluate their impact on the final model accuracy through experiments. Experiments show that these improvements can significantly improve the performance of the model. For this task, we use a single SeResNext to improve the validation score from 0.8322 to 0.8721.

AB - The performance of disease classification can be improved through improvements in the training process, such as changes in data augmentation, optimization methods, and deep learning model architectures. In the Diabetic Retinopathy Analysis Challenge, we employ a series of techniques to enhance the performance of the diabetic retinopathy grading. In this paper, we examine a collection of these improvements and empirically evaluate their impact on the final model accuracy through experiments. Experiments show that these improvements can significantly improve the performance of the model. For this task, we use a single SeResNext to improve the validation score from 0.8322 to 0.8721.

KW - Deep learning

KW - Diabetic retinopathy grading

KW - DRAC

KW - Medical image analysis

UR - https://www.scopus.com/pages/publications/85173560596

U2 - 10.1007/978-3-031-33658-4_3

DO - 10.1007/978-3-031-33658-4_3

M3 - 会议稿件

AN - SCOPUS:85173560596

SN - 9783031336577

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 26

EP - 30

BT - Mitosis Domain Generalization and Diabetic Retinopathy Analysis - MICCAI Challenges MIDOG 2022 and DRAC 2022, Held in Conjunction with MICCAI 2022, Proceedings

A2 - Sheng, Bin

A2 - Aubreville, Marc

PB - Springer Science and Business Media Deutschland GmbH

T2 - 25th International Conference on Medical Image Computing and Computer-Assisted Intervention , MICCAI 2022

Y2 - 18 September 2022 through 22 September 2022

ER -

Li R, Gu Y, Wang X, Lu S. Bag of Tricks for Diabetic Retinopathy Grading of Ultra-Wide Optical Coherence Tomography Angiography Images. 在 Sheng B, Aubreville M, 编辑, Mitosis Domain Generalization and Diabetic Retinopathy Analysis - MICCAI Challenges MIDOG 2022 and DRAC 2022, Held in Conjunction with MICCAI 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. 页码 26-30. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-33658-4_3

Bag of Tricks for Diabetic Retinopathy Grading of Ultra-Wide Optical Coherence Tomography Angiography Images

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此