Title
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis
Abstract
We present MedMNIST, a collection of 10 pre-processed medical open datasets. MedMNIST is standardized to perform classification tasks on lightweight 28 $\times$ 28 images, which requires no background knowledge. Covering the primary data modalities in medical image analysis, it is diverse on data scale (from 100 to 100,000) and tasks (binary/multi-class, ordinal regression and multi-label). MedMNI...
Year
DOI
Venue
2021
10.1109/ISBI48211.2021.9434062
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)
Keywords
DocType
ISSN
Machine learning algorithms,Machine learning,Benchmark testing,Tools,Rapid prototyping,Classification algorithms,Task analysis
Conference
1945-7928
ISBN
Citations 
PageRank 
978-1-6654-1246-9
4
0.43
References 
Authors
0
3
Name
Order
Citations
PageRank
Jiancheng Yang1206.74
Rui Shi240.77
Bingbing Ni3142182.90