The role of noise in denoising models for anomaly detection in medical images

Author:

Kascenas Antanas,Sanchez PedroORCID,Schrempf PatrickORCID,Wang Chaoyang,Clackett WilliamORCID,Mikhael Shadia S.ORCID,Voisey Jeremy P.ORCID,Goatman Keith,Weir AlexanderORCID,Pugeault NicolasORCID,Tsaftaris Sotirios A.ORCID,O’Neil Alison Q.ORCID

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

Reference47 articles.

1. Semisupervised learning using denoising autoencoders for brain lesion detection and segmentation;Alex;J. Med. Imaging,2017

2. Unsupervised brain lesion segmentation from MRI using a convolutional autoencoder;Atlason,2019

3. Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features;Bakas;Sci. Data,2017

4. Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BraTS challenge;Bakas,2018

5. Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study;Baur;Med. Image Anal.,2021

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