The Challenge on Automatic Tool Annotation for cataRACT Surgery aims at evaluating image-based tool detection algorithms in the context of the most common surgical procedure in the world.
DRIVE
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Develop a system to automatically segment vessels in human retina fundus images.
REFUGE
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The goal of the Retinal Fundus Glaucoma Challenge (REFUGE) is to evaluate and compare automated algorithms for glaucoma detection and optic disc/cup segmentation on a common dataset of retinal fundus images.
PALM
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The Pathologic Myopia Challenge (PALM) focuses on the investigation and development of algorithms associated with the diagnosis of Pathological Myopia (PM) and segmentation of lesions in fundus photos from PM patients.
iChallenges
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We organized a serial of challenges on different eye image modalities, such as REFUGE, PALM, RETOUCH, etc.
iChallenge-AMD
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Age-related Macular Degeneration Challenge
RIADD (ISBI-2021)
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Retinal Image Analysis for multi-Disease Detection
The PI-CAI Challenge
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Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI
Diabetic Retinopathy (DR) lesions segmentation, image quality assessment and classification of proliferatived DR (PDR) and non-PDR in ultra-wide optical coherence tomography angiography mosaic (UW-OCTA-M) images
Cell Segmentation in Multi-modality Microscopy Images
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Weakly Supervised Cell Segmentation in Multi-modality High-resolution Microscopy Images
