Full metadata
Title
Augnosis: Self-Diagnosis in Augmented Reality
Description
Oftentimes, patients struggle to accurately describe their symptoms to medical professionals, which produces erroneous diagnoses, delaying and preventing treatment. My app, Augnosis, will streamline constructive communication between patient and doctor, and allow for more accurate diagnoses. The goal of this project was to create an app capable of gathering data on visual symptoms of facial acne and categorizing it to differentiate between diagnoses using image recognition and identification. “Augnosis”, is a combination of the words “Augmented Reality” and “Self-Diagnosis”, the former being the medium in which it is immersed and the latter detailing its functionality.
Date Created
2022-05
Contributors
- Goyal, Nandika (Author)
- Johnson, Mina (Thesis director)
- Bryan, Chris (Committee member)
- Turaga, Pavan (Committee member)
- Barrett, The Honors College (Contributor)
- Computer Science and Engineering Program (Contributor)
Topical Subject
Resource Type
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Series
Academic Year 2021-2022
Handle
https://hdl.handle.net/2286/R.2.N.165200
System Created
- 2022-04-16 01:08:12
System Modified
- 2022-05-11 09:52:44
- 2 years 6 months ago
Additional Formats