2.75 D: Boosting learning by representing 3D Medical imaging to 2D features for small data

X Wang, R Su, W Xie, W Wang, Y Xu, R Mann… - … Signal Processing and …, 2023 - Elsevier
In medical-data driven learning, 3D convolutional neural networks (CNNs) have started to
show superior performance to 2D CNNs in numerous deep learning tasks, proving the …

Omnidirectional 2.5 D representation for COVID-19 diagnosis using chest CTs

TLT da Silveira, PGL Pinto, TS Lermen… - Journal of Visual …, 2023 - Elsevier
Abstract The Coronavirus Disease 2019 (COVID-19) has drastically overwhelmed most
countries in the last two years, and image-based approaches using computerized …