Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images

Author:

Kanwal NeelORCID,López-Pérez Miguel,Kiraz Umay,Zuiverloon Tahlita C.M.,Molina Rafael,Engan Kjersti

Funder

EU Framework Programme for Research and Innovation Marie Sklodowska-Curie Actions

Consejería de Transformación Económica, Industria, Conocimiento y Universidades

Agencia Estatal de Investigación

Junta de Andalucia Consejeria de Economia Innovacion y Ciencia

Ministerio de Ciencia e Innovación

Universidad de Granada

Horizon 2020 Framework Programme

European Regional Development Fund

Horizon 2020

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference82 articles.

1. A review of uncertainty quantification in deep learning: Techniques, applications and challenges;Abdar;Inf. Fusion,2021

2. Albuquerque, T., Moreira, A., Cardoso, J.S., 2021. Deep Ordinal Focus Assessment for Whole Slide Images. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 657–663.

3. Deep features for tissue-fold detection in histopathology images;Babaie,2019

4. Automated detection of diagnostically relevant regions in H&E stained digital pathology slides;Bahlmann,2012

5. Theory and Practice of Histological Techniques;Bancroft,2008

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