G. Maddineni

Transformer-Based Deep Learning Framework for Automated Lesion Detection in Capsule Endoscopy: A Comparative Study With CNN Architectures.

GOALS To compare a vision transformer with 2 convolutional neural network architectures for multiclass lesion classification in capsule endoscopy images. BACKGROUND Manual review of capsule endoscopy is time-consuming and subject to interobserver variability. Deep learning can automate lesion recognition; however, mo...