Transformer-based end-to-end classification of variable-length volumetric data

Marzieh Oghbaie, Teresa Araujo, Taha Emre +2

The automatic classification of 3D medical data is memory-intensive. Also, variations in the number of slices between samples is common. Naïve solutions such as subsampling can sol…