Improving convolutional neural networks performance for image classification using test time augmentation

Kandel, I., & Castelli, M. (2021). Improving convolutional neural networks performance for image classification using test time augmentation: a case study using MURA dataset. Health information science and systems, 9(1), 1-22. [33]. https://doi.org/10.1007/s13755-021-00163-7

Bibliographic Details
Main Author: Kandel, Ibrahem (author)
Other Authors: Castelli, Mauro (author)
Format: article
Language:eng
Published: 2022
Subjects:
Convolutional neural networks
Deep learning
Ensemble learning
Transfer learning
Test time augmentation
Image classification
Health Informatics
Health Information Management
Information Systems
Online Access:http://hdl.handle.net/10362/123440
Country:Portugal
Oai:oai:run.unl.pt:10362/123440
Description
Summary:Kandel, I., & Castelli, M. (2021). Improving convolutional neural networks performance for image classification using test time augmentation: a case study using MURA dataset. Health information science and systems, 9(1), 1-22. [33]. https://doi.org/10.1007/s13755-021-00163-7

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