Semi-supervised Gastrointestinal Lesion Segmentation using Adversarial Learning

Accurate segmentation of lesions from gastrointestinal (GI) images is vital for diagnosis and treatment management. However, with the large variability of GI images, it is challenging to enhance GI image lesion segmentation accuracy with small and many unlabeled data. Therefore, this study proposes a semi-supervised lesion segmentation using adversarial learning, which utilized limited labeled and...