Please use this identifier to cite or link to this item:
https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/1113
Title: | AI Doc Helper |
Authors: | Ranveer Kothavale, Archana P. Ekbote |
Keywords: | Artificial Intelligence Detection Cancer |
Issue Date: | 2022 |
Publisher: | Indian Journal of Computer Science |
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. |
URI: | http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/1113 |
Appears in Collections: | Article Archives |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Al Doc Helper.pdf Restricted Access | Al Doc Helper | 441.92 kB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.