Lung Data Analysis With Deep Learning – Harikrishnan KESAVAN VIJAYAKUMAR
Harikrishnan KESAVAN VIJAYAKUMAR
Bachelor's thesis
Lung Data Analysis With Deep Learning
Lung Data Analysis with Deep Learning
Abstract:
Medical images can have extremely high resolutions which cannot be handled properly by typical stateofart machine learning models. In this thesis, I compared the performance of two approaches of multiple instance learning models where the high resolution images are downscaled into smaller patches and low dimensional embedding are calculated using Resnet. Then low dimensional embedding are aggregated …moreAbstract:
Medical images can have extremely high resolutions which cannot be handled properly by typical stateofart machine learning models. In this thesis, I compared the performance of two approaches of multiple instance learning models where the high resolution images are downscaled into smaller patches and low dimensional embedding are calculated using Resnet. Then low dimensional embedding are aggregated …more
Language used: English
Date on which the thesis was submitted / produced: 18. 11. 2021
Thesis defence
- Supervisor: prof. Dr. Sepp Hochreiter, MSc. Andreas Mitterecker
Citation record
ISO 690-compliant citation record:
KESAVAN VIJAYAKUMAR, Harikrishnan. \textit{Lung Data Analysis With Deep Learning}. Online. Bachelor's thesis. České Budějovice: University of South Bohemia in České Budějovice, Faculty of Science. 2021. Available from: https://theses.cz/id/wpqp9h/.
The right form of listing the thesis as a source quoted
KESAVAN VIJAYAKUMAR, Harikrishnan. Lung Data Analysis With Deep Learning. České Budějovice, 2021. bakalářská práce (Bc.). JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH. Přírodovědecká fakulta
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Institution archiving the thesis and making it accessible: JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH, Přírodovědecká fakultaUNIVERSITY OF SOUTH BOHEMIA IN ČESKÉ BUDĚJOVICE
Faculty of ScienceBachelor programme / field:
Applied Informatics / Bioinformatics
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