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https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/1113
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Ranveer Kothavale, Archana P. Ekbote | - |
dc.date.accessioned | 2023-09-16T08:50:29Z | - |
dc.date.available | 2023-09-16T08:50:29Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/1113 | - |
dc.description.abstract | For numerous times, numerous people have failed due to undetected conditions. Early discovery of these conditions at the micro bracket stage can be useful for furnishing proper treatment of the cases at an early stage and could have saved a lot of lives. A lot of exploration is being done to describe these conditions at the foremost. Thus, a computer-backed or Artificial Intelligence approach for detecting conditions at the early stage is being proposed, which makes use of machine, literacy and deep literacy algorithms for detecting conditions. This system will describe all general conditions similar to different types of cancer, malaria, diabetic retinopathy, etc. AI-Doc Helper is being proposed as there's no system available that detects all these general conditions. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Indian Journal of Computer Science | en_US |
dc.subject | Artificial Intelligence | en_US |
dc.subject | Detection | en_US |
dc.subject | Cancer | en_US |
dc.title | AI Doc Helper | en_US |
dc.type | Article | en_US |
Appears in Collections: | Article Archives |
Files in This Item:
File | Description | Size | Format | |
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Al Doc Helper.pdf Restricted Access | Al Doc Helper | 441.92 kB | Adobe PDF | View/Open Request a copy |
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