| Title: |
Image Classification with Consistent Supporting Evidence |
| Authors: |
Wang, Peiqi(Electrical engineer and computer scientist) |
| Contributors: |
Golland, Polina; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| Publisher Information: |
Massachusetts Institute of Technology |
| Publication Year: |
2022 |
| Collection: |
DSpace@MIT (Massachusetts Institute of Technology) |
| Description: |
Adoption of machine learning models in healthcare requires end users’ trust in the system. Models that provide additional supportive evidence for their predictions promise to facilitate adoption. We define consistent evidence to be both compatible and sufficient with respect to model predictions. We propose measures of model inconsistency and regularizers that promote more consistent evidence. We demonstrate our ideas in the context of edema severity grading from chest radiographs. We demonstrate empirically that consistent models provide competitive performance while supporting interpretation. ; S.M. |
| Document Type: |
thesis |
| File Description: |
application/pdf |
| Language: |
unknown |
| Relation: |
https://hdl.handle.net/1721.1/143207 |
| Availability: |
https://hdl.handle.net/1721.1/143207 |
| Rights: |
In Copyright - Educational Use Permitted ; Copyright MIT ; http://rightsstatements.org/page/InC-EDU/1.0/ |
| Accession Number: |
edsbas.83FD56C |
| Database: |
BASE |