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Open Access 01-05-2021 | COVID-19 | Letter to the Editor

COVID-19, AI enthusiasts, and toy datasets: radiology without radiologists

Authors: H. R. Tizhoosh, Jennifer Fratesi

Published in: European Radiology | Issue 5/2021

Excerpt

In computer science, textbooks talk about the “garbage in, garbage out” concept (GIGO); i.e., low-quality input data generates unreliable output or “garbage.” GIGO becomes, even more, a pressing issue when we are dealing with highly complex data modalities, such as radiographs and computed tomography scans. …

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Title: COVID-19, AI enthusiasts, and toy datasets: radiology without radiologists
Authors: H. R. Tizhoosh
Jennifer Fratesi
Publication date: 01-05-2021
Publisher: Springer Berlin Heidelberg
Keyword: COVID-19
Published in: European Radiology / Issue 5/2021
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-020-07453-w

2024 ASCO Annual Meeting

Springer Medicine

COVID-19, AI enthusiasts, and toy datasets: radiology without radiologists

Excerpt

2024 ASCO Annual Meeting

Springer Medicine

Excerpt

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