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URL: https://github.com/jackyguo77520/Corneal-Diseases-Classification
Proper Citation: Corneal Diseases Classification (RRID:SCR_017416)
Description: Software based on deep learning model for auto detect corneal diseases. Sample may contain multiple categories. After learning thousands of corneal images, you can make automatic judgments on subtypes of cornea.
Resource Type: data processing software, image analysis software, software application, software resource
Keywords: Deep, learning, model, auto detect, corneal, disease, classification
Availability: Free, Available for download, Freely available
Resource Name: Corneal Diseases Classification
Resource ID: SCR_017416
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
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