Super-trustscore: reliable failure detection for automated skin lesion diagnosis
The successful deployment of deep neural networks in safetycritical settings, such as medical image analysis, is contingent on their ability to provide reliable uncertainty estimates. In this paper, we propose a new confidence scoring function called Super-TrustScore that improves upon the existing...
Κύριοι συγγραφείς: | Naushad, J, Voiculescu, ID |
---|---|
Μορφή: | Conference item |
Γλώσσα: | English |
Έκδοση: |
IEEE
2024
|
Παρόμοια τεκμήρια
Παρόμοια τεκμήρια
-
AI EMPOWERED DIAGNOSIS OF PEMPHIGUS: A MACHINE LEARNING APPROACH FOR AUTOMATED SKIN LESION DETECTION
ανά: Mamun Ahmed, κ.ά.
Έκδοση: (2023-12-01) -
Exploring Edge-Based Segmentation Towards Automated Skin Lesion Diagnosis
ανά: Lau, Hui Keng, κ.ά.
Έκδοση: (2018) -
Conditional Random Fields and Supervised Learning in Automated Skin Lesion Diagnosis
ανά: Paul Wighton, κ.ά.
Έκδοση: (2011-01-01) -
Automated stroke lesion detection and diagnosis system
ανά: Mohd Saad, N., κ.ά.
Έκδοση: (2017) -
A Reinforcement Learning Algorithm for Automated Detection of Skin Lesions
ανά: Usman Ahmad Usmani, κ.ά.
Έκδοση: (2021-10-01)