LesionAir : a low-cost tool for automated skin cancer diagnosis and mapping
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2016.
Κύριος συγγραφέας: | Wortman, Tyler David |
---|---|
Άλλοι συγγραφείς: | Alexander H. Slocum. |
Μορφή: | Thesis |
Γλώσσα: | eng |
Έκδοση: |
Massachusetts Institute of Technology
2016
|
Θέματα: | |
Διαθέσιμο Online: | http://hdl.handle.net/1721.1/104499 |
Παρόμοια τεκμήρια
Παρόμοια τεκμήρια
-
LesionAir: An Automated, Low-Cost Vision-Based Skin Cancer Diagnostic Tool
ανά: Carlson, Jay D., κ.ά.
Έκδοση: (2019) -
Conditional Random Fields and Supervised Learning in Automated Skin Lesion Diagnosis
ανά: Paul Wighton, κ.ά.
Έκδοση: (2011-01-01) -
Super-trustscore: reliable failure detection for automated skin lesion diagnosis
ανά: Naushad, J, κ.ά.
Έκδοση: (2024) -
Exploring Edge-Based Segmentation Towards Automated Skin Lesion Diagnosis
ανά: Lau, Hui Keng, κ.ά.
Έκδοση: (2018) -
Low-cost simulators for assessing wounds and skin lesions
ανά: Milena Mendes Jorge, κ.ά.
Έκδοση: (2025-02-01)