Please use this identifier to cite or link to this item:
http://arks.princeton.edu/ark:/88435/dsp01cn69m710mFull metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Russakovsky, Olga | - |
| dc.contributor.author | Teferi, Emmanuel | - |
| dc.date.accessioned | 2020-08-12T14:41:54Z | - |
| dc.date.available | 2020-08-12T14:41:54Z | - |
| dc.date.created | 2020-05 | - |
| dc.date.issued | 2020-08-12 | - |
| dc.identifier.uri | http://arks.princeton.edu/ark:/88435/dsp01cn69m710m | - |
| dc.description.abstract | The goal of this study is to explore classification models that could be potentially used in Computer Aided Diagnosis (CADx). The performances of models with different feature extraction methods, feature representations, and classifier combinations are tested and analyzed. None of the models explored in this study are viable options for CADx models. The results may reveal useful information regarding future improvement of CADx models. | en_US |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en | en_US |
| dc.title | ORIGINAL | en_US |
| dc.title | ORIGINAL | en_US |
| dc.title | An Exploratory Analysis of ML Models in CADx Design | en_US |
| dc.type | Princeton University Senior Theses | - |
| pu.date.classyear | 2020 | en_US |
| pu.department | Computer Science | en_US |
| pu.pdf.coverpage | SeniorThesisCoverPage | - |
| pu.contributor.authorid | 961269314 | - |
| Appears in Collections: | Computer Science, 1988-2020 | |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| TEFERI-EMMANUEL-THESIS.pdf | 3.64 MB | Adobe PDF | Request a copy |
Items in Dataspace are protected by copyright, with all rights reserved, unless otherwise indicated.