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DC Field | Value | Language |
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dc.contributor.author | YADAV, HARSHIT | - |
dc.date.accessioned | 2024-08-05T08:26:31Z | - |
dc.date.available | 2024-08-05T08:26:31Z | - |
dc.date.issued | 2024-05 | - |
dc.identifier.uri | http://dspace.dtu.ac.in:8080/jspui/handle/repository/20685 | - |
dc.description.abstract | Image caption generation is a natural language sentence generated using deep learning technology. Image captioning means generate textual caption for any image which is either capture by camera or any medical report by using deep learning or Natural language Processing (NLP) based technique. Medical image captioning contains reports for which it generates suitable caption like symptoms and diseases of patients. It is very effective and useful for physicians and for lab diagnostics. Finally generated caption is verified by evaluation matrices which check similarity between NLP generated caption and actual caption. Medical Image Captioning is used in many research fields. Medical Image captioning is used to detect symptoms of disease effectively and it take less time to lab pathologist to decode the required information. It used in many research areas for generate vaccine and new medicine for viral diseases. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | TD-7172; | - |
dc.subject | MEDICAL IMAGE CAPTIONING | en_US |
dc.subject | NATURAL LANGUAGE PROCESS (NLP) | en_US |
dc.title | MEDICAL IMAGE CAPTIONING | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | M.E./M.Tech. Electronics & Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
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Harshit Yadav M.Tech.pdf | 1.93 MB | Adobe PDF | View/Open |
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