Handling Missing MRI Data in Brain Tumors Classification Tasks: Usage of Synthetic Images vs. Duplicate Images and Empty Images
- Published on 11/15/2023
- Reading time: 5 min.
Yael H. Moshe MS 1,2, Yuval Buchsweiler BS 1,3, Mina Teicher PhD 2,4, Moran Artzi PhD 1,5,6
1
Sagol Brain Institute, Tel Aviv Sourasky Medical Center
Tel Aviv
Israel
2
Department of Mathematics
Bar Ilan University
Ramat Gan
Israel
3
The Iby and Aladar Fleischman Faculty of Engineering
Tel Aviv University
Tel Aviv
Israel
4
Gonda Brain Research Center
Bar‐Ilan University
Ramat Gan
Israel
5
Faculty of Medicine
Tel Aviv University
Tel Aviv
Israel
6
Sagol School of Neuroscience
Tel Aviv University
Tel Aviv
Israel
Abstract
Background Deep‐learning is widely used for lesion classification. However, in the clinic patient data often has missing images.
Purpose To evaluate the use of generated, duplicate and empty(black) images for replacing missing MRI data in AI brain tumor classification tasks.
Study Type Retrospective.
Population 224 patients (local‐dataset; low‐grade‐glioma (LGG) = 37, high‐grade‐glioma...
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