ANDREOLIANDREONI-THESIS-2020.pdf (3.24 MB)
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Evaluation and Training Metrics for Medical Image Segmentation

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thesis
posted on 01.08.2020, 00:00 by Maddalena Andreoli Andreoni
This thesis will define and develop twenty metrics that are computed over tumor segmentation in medical MRI images and that aim to describe such segmentation in an objective and quantitative way. It will proceed to compute each metric over the Brain Tumor Image Segmentation Benchmark dataset to show their descriptiveness over real data. Subsequently it will attempt classification of tumor grade label using the defined metrics.

History

Advisor

Gmytrasiewicz, Piotr

Chair

Gmytrasiewicz, Piotr

Department

Computer Science

Degree Grantor

University of Illinois at Chicago

Degree Level

Masters

Degree name

MS, Master of Science

Committee Member

Parde, Natalie Lanzi, Pier Luca

Submitted date

August 2020

Thesis type

application/pdf

Language

en

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