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...
Hlavní autoři: | Naushad, J, Voiculescu, ID |
---|---|
Médium: | Conference item |
Jazyk: | English |
Vydáno: |
IEEE
2024
|
Podobné jednotky
-
AI EMPOWERED DIAGNOSIS OF PEMPHIGUS: A MACHINE LEARNING APPROACH FOR AUTOMATED SKIN LESION DETECTION
Autor: Mamun Ahmed, a další
Vydáno: (2023-12-01) -
Exploring Edge-Based Segmentation Towards Automated Skin Lesion Diagnosis
Autor: Lau, Hui Keng, a další
Vydáno: (2018) -
Conditional Random Fields and Supervised Learning in Automated Skin Lesion Diagnosis
Autor: Paul Wighton, a další
Vydáno: (2011-01-01) -
Automated stroke lesion detection and diagnosis system
Autor: Mohd Saad, N., a další
Vydáno: (2017) -
A Reinforcement Learning Algorithm for Automated Detection of Skin Lesions
Autor: Usman Ahmad Usmani, a další
Vydáno: (2021-10-01)