Discriminative ensemble learning for few-shot chest x-ray diagnosis

•We design a two-step solution for few-shot diagnosis of chest x-rays.•Our model is composed of a coarse-learner and a saliency-based classifier.•The saliency-based classifier is designed using a novel discriminative autoencoder ensemble.•We introduce a novel intrinsic weight to be assigned to each...

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Bibliographic Details
Published in:	Medical image analysis Vol. 68; p. 101911
Main Authors:	Paul, Angshuman, Tang, Yu-Xing, Shen, Thomas C., Summers, Ronald M.
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.02.2021 Elsevier BV
Subjects:	Algorithms Autoencoder Chest Classifiers Diagnosis Discriminative Ensemble Ensemble learning Feature extraction Few-shot Humans Image analysis Image processing Learning Machine Learning Medical diagnosis Medical imaging Radiography Salience Tomography, X-Ray Computed Training X-ray X-Rays Discriminative Autoencoder Few-shot Ensemble 41A10 65D05 65D17 X-ray 41A05
ISSN:	1361-8415, 1361-8423, 1361-8423
Online Access:	Get full text
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