ChákṣuAI: Last-Mile Vision Care,
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Spectrum Lab, Department of Electrical Engineering, Indian Institute of Science, Bengaluru

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Chákṣu Dataset Paper AI for Eyecare Workshop

What is ChákṣuAI?

The ChákṣuAI project aims to develop an open-source, AI-powered assistant to support ophthalmologists in diagnosing and managing various eye diseases, including diabetic retinopathy, glaucoma, and age-related macular degeneration (AMD). Using state-of-the-art deep learning models, ChákṣuAI will provide functionalities including classification of retinal diseases (e.g., diabetic retinopathy, glaucoma), detection of abnormalities (e.g., microaneurysms, haemorrhages), retinal segmentation (e.g., optic disc and cup), volumetric analysis of fluid in optical coherence tomography (OCT) images, and risk prediction for disease progression. These capabilities will be integrated into a unified platform to enhance diagnostic accuracy and efficiency, particularly in low-resource settings.

News and Updates

  • January 20 - 25, 2025: SPARC Course on "Human Perception and Image Analysis in the Era of Machine Learning" at IISc Bengaluru. Instructors: Prof. Thrasyvoulos Pappas (Northwestern University, USA) and Prof. Gaurav Sharma (University of Rochester, USA). Registration is free but mandatory. Register here.
  • January 17, 2025: A One-Day Symposium on Artificial Intelligence for Eyecare supported by SPARC, Ministry of Education, Govt. of India and Kotak IISc AI-ML Centre. Registration is free but mandatory. Register here.
  • January 14, 2025: The new ChákṣuAI project website is launched!
  • November 25, 2024: KIAC funding approved! We are excited to announce that our ChákṣuAI project has received funding from the Kotak IISc AI-ML Centre (KIAC). This funding will enable us to further develop deep technology solutions for public good.

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Team Members

Chandra Sekhar Seelamantula

Prof. Chandra Sekhar Seelamantula,
Project Supervisor

Sasidhar Alavala

Sasidhar Alavala,
Project Associate

Puneet Garg

Puneet Garg,
MTech(AI) IISc

Pramath Haritz

Pramath Haritz,
Project Intern

Akash Kamalesh

Akash Kamalesh,
Project Intern

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Recent Work


  @article{kumar2023chakṣu,
    title={Chákṣu: A glaucoma specific fundus image database},
    author={Kumar, JR Harish and Seelamantula, Chandra Sekhar and Gagan, JH and Kamath, Yogish S and Kuzhuppilly, Neetha IR and Vivekanand, U and Gupta, Preeti and Patil, Shilpa},
    journal={Scientific data},
    volume={10},
    number={1},
    pages={70},
    year={2023},
    publisher={Nature Publishing Group UK London}
  }
  
  @article{kasireddy2023deep,
    title={Deep-learning-based visualization and volumetric analysis of fluid regions in optical coherence tomography scans},
    author={Kasireddy, Harishwar Reddy and Kallam, Udaykanth Reddy and Mantrala, Sowmitri Karthikeya Siddhartha and Kongara, Hemanth and Shivhare, Anshul and Saita, Jayesh and Vijay, Sharanya and Prasad, Raghu and Raman, Rajiv and Seelamantula, Chandra Sekhar},
    journal={Diagnostics},
    volume={13},
    number={16},
    pages={2659},
    year={2023},
    publisher={MDPI}
  }
  
  @article{kumar2019rim,
    title={Rim-to-disc ratio outperforms cup-to-disc ratio for glaucoma prescreening},
    author={Kumar, JR Harish and Seelamantula, Chandra Sekhar and Kamath, Yogish Subraya and Jampala, Rajani},
    journal={Scientific reports},
    volume={9},
    number={1},
    pages={7099},
    year={2019},
    publisher={Nature Publishing Group UK London}
  }