Fine-Grained Self-Supervised Learning with Jigsaw puzzles for medical image classification

Wongi Park, Jongbin Ryu

Abstract: Highlights•We propose a fine-grained self-supervised learning method for medical image recognition.•We present the progressive Jigsaw puzzled based self-supervised learning to learn fine- grained lesion information.•We achieve state-of-the-art performance on various medical image recognition datasets.