VAADER Reading Group #9 / Meriem Outtas / Supervised learning to approximate model observer in task-based measure of image quality

The ability of an observer to perform a specific task on images, produced by a given medical imaging systems, defines an objective measure of image quality.

If the observer is “numerical”, can deep learning methods “do the job”? What we found in the literature? Some papers rise this issue and propose to approximate the Ideal Observer for performing tasks detection and localization.

Tags: ia

Added by: Florian Lemarchand
Updated on: June 16, 2021, 3:44 p.m.
Type: Conference - Colloquium - Seminar
Main language: French
Audience: Doctorat
Discipline(s):
- Computer science
- Signal processing

VAADER Reading Group #9 / Meriem Outtas / Supervised learning to approximate model observer in task-based measure of image quality

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