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DeepDRiD: Diabetic Retinopathy-Grading and Image Quality Estimation Challenge.
Liu, Ruhan; Wang, Xiangning; Wu, Qiang; Dai, Ling; Fang, Xi; Yan, Tao; Son, Jaemin; Tang, Shiqi; Li, Jiang; Gao, Zijian; Galdran, Adrian; Poorneshwaran, J M; Liu, Hao; Wang, Jie; Chen, Yerui; Porwal, Prasanna; Wei Tan, Gavin Siew; Yang, Xiaokang; Dai, Chao; Song, Haitao; Chen, Mingang; Li, Huating; Jia, Weiping; Shen, Dinggang; Sheng, Bin; Zhang, Ping.
Afiliación
  • Liu R; Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.
  • Wang X; MoE Key Lab of Artificial Intelligence, Artificial Intelligence Institute, Shanghai Jiao Tong University, Shanghai, China.
  • Wu Q; Department of Ophthalmology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
  • Dai L; Department of Ophthalmology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
  • Fang X; Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.
  • Yan T; MoE Key Lab of Artificial Intelligence, Artificial Intelligence Institute, Shanghai Jiao Tong University, Shanghai, China.
  • Son J; Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
  • Tang S; Department of Electromechanical Engineering, University of Macau, Macao, China.
  • Li J; VUNO Inc., Korea.
  • Gao Z; Department of Mathematics, City University of Hong Kong, Hong Kong, China.
  • Galdran A; Institute of Image Processing and Pattern Recognition, Department of Automation, Shanghai Jiao Tong University, Shanghai, China.
  • Poorneshwaran JM; School of Electronic Information, Hangzhou Dianzi University, Hangzhou, China.
  • Liu H; Bournemouth University, United Kingdom.
  • Wang J; Healthcare Technology Innovation Centre, IIT Madras, India.
  • Chen Y; School of Electronic Information, Hangzhou Dianzi University, Hangzhou, China.
  • Porwal P; School of Computer Science and Engineering, Beihang University, Beijing, China.
  • Wei Tan GS; Nanjing University of Science and Technology, Nanjing, China.
  • Yang X; Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, India.
  • Dai C; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Song H; MoE Key Lab of Artificial Intelligence, Artificial Intelligence Institute, Shanghai Jiao Tong University, Shanghai, China.
  • Chen M; Shanghai Zhi Tang Health Technology Co., LTD., China.
  • Li H; MoE Key Lab of Artificial Intelligence, Artificial Intelligence Institute, Shanghai Jiao Tong University, Shanghai, China.
  • Jia W; Shanghai Key Laboratory of Computer Software Testing & Evaluating, Shanghai Development Center of Computer Software Technology, Shanghai, China.
  • Shen D; Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
  • Sheng B; Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China.
  • Zhang P; Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Patterns (N Y) ; 3(6): 100512, 2022 Jun 10.
Article en En | MEDLINE | ID: mdl-35755875
ABSTRACT
We described a challenge named "Diabetic Retinopathy (DR)-Grading and Image Quality Estimation Challenge" in conjunction with ISBI 2020 to hold three sub-challenges and develop deep learning models for DR image assessment and grading. The scientific community responded positively to the challenge, with 34 submissions from 574 registrations. In the challenge, we provided the DeepDRiD dataset containing 2,000 regular DR images (500 patients) and 256 ultra-widefield images (128 patients), both having DR quality and grading annotations. We discussed details of the top 3 algorithms in each sub-challenges. The weighted kappa for DR grading ranged from 0.93 to 0.82, and the accuracy for image quality evaluation ranged from 0.70 to 0.65. The results showed that image quality assessment can be used as a further target for exploration. We also have released the DeepDRiD dataset on GitHub to help develop automatic systems and improve human judgment in DR screening and diagnosis.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Patterns (N Y) Año: 2022 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Patterns (N Y) Año: 2022 Tipo del documento: Article País de afiliación: China