Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean

no code implementations • 10 Aug 2021 • Balagopal Unnikrishnan, Cuong Nguyen, Shafa Balaram, Chao Li, Chuan Sheng Foo, Pavitra Krishnaswamy

Specifically, we describe adaptations for scenarios with 2D and 3D inputs, uni and multi-label classification, and class distribution mismatch between labeled and unlabeled portions of the training data.

Classification Image Classification +1

Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification

no code implementations • 5 Sep 2022 • Shafa Balaram, Cuong M. Nguyen, Ashraf Kassim, Pavitra Krishnaswamy

Deep learning approaches achieve state-of-the-art performance for classifying radiology images, but rely on large labelled datasets that require resource-intensive annotation by specialists.

Active Learning Image Classification +1