Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/585433
Title: | Medical Image Analysis for Early Detection of Abnormal Medical Conditions using Machine Learning and Deep Learning Models |
Researcher: | Jain,Manju |
Guide(s): | Rai , C. S. |
Keywords: | Computer Science Computer Science Interdisciplinary Applications Engineering and Technology |
University: | Guru Gobind Singh Indraprastha University |
Completed Date: | 2024 |
Abstract: | Machine learning is playing an instrumental role in medial image analysis. Medical newlineimage processing has provided exponential opportunities to the researchers from newlineinterdisciplinary fields (e.g. engineering, statistics, mathematics, medicine, and newlinephysics). The computer aided diagnosis is not a threat to the radiologist and newlinepathologist, but it is a decision support system to enhance accuracy and speed of newlinediagnosis. Emergence of medical technology evolved a variety of medical imaging newlinedevices to scan the internal anatomy of human body for early detection of abnormal newlinemedical conditions. Various imaging modalities are X-RAY, CT, MRI, PET and newlineultrasound. MRI scan is a high resolution image of bones, soft tissues, nerves and newlineblood vessels. In our research we mainly worked on MRI datasets... newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/585433 |
Appears in Departments: | University School of Information and Communication Technology |
Files in This Item:
File | Description | Size | Format | |
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80_recommendation.pdf | Attached File | 177.98 kB | Adobe PDF | View/Open |
abstract.pdf | 149.28 kB | Adobe PDF | View/Open | |
contents.pdf | 231.82 kB | Adobe PDF | View/Open | |
prelims.pdf | 282.58 kB | Adobe PDF | View/Open | |
title.pdf | 124.4 kB | Adobe PDF | View/Open |
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