LesionAir : a low-cost tool for automated skin cancer diagnosis and mapping
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2016.
Main Author: | Wortman, Tyler David |
---|---|
Other Authors: | Alexander H. Slocum. |
Format: | Thesis |
Language: | eng |
Published: |
Massachusetts Institute of Technology
2016
|
Subjects: | |
Online Access: | http://hdl.handle.net/1721.1/104499 |
Similar Items
-
LesionAir: An Automated, Low-Cost Vision-Based Skin Cancer Diagnostic Tool
by: Carlson, Jay D., et al.
Published: (2019) -
Exploring Edge-Based Segmentation Towards Automated Skin Lesion Diagnosis
by: Lau, Hui Keng, et al.
Published: (2018) -
Super-trustscore: reliable failure detection for automated skin lesion diagnosis
by: Naushad, J, et al.
Published: (2024) -
Developing low-cost automated tool for integrating maps with GNSS satellite positioning data
by: Habib Maan, et al.
Published: (2022-11-01) -
Smart urban air quality diagnosis using low-cost particulate matter sensors and machine learning
by: Won, Wan-Sik
Published: (2022)