Wuhan University

Na Zhang

Juan Liu

The present disclosure provides a multi-modal method for classifying a thyroid nodule based on ultrasound (US) and infrared thermal (IRT) images. Based on ultrasound and infrared thermal images and in combination with a multi-modal learning method, the present disclosure provides an adaptive multi-modal hybrid (AmmH) model which is composed of three parts: an intra-modal hybrid encoder (HIME), an adaptive cross-modal encoder (ACME), and a multilayer perceptron (MLP) head. The HIME is capable of modeling a global feature while extracting a local feature. The ACME is capable of customizing personalized modality-weights according to different cases and performing information interaction and fusion of inter-modal features. The MLP head classifies a fused feature obtained. The method enables the AmmH model to automatically classify a thyroid nodule of a subject based on ultrasound and infrared thermal images of the subject, providing a doctor with an objective and accurate classification result to assist diagnosis.

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Wuhan, China

Na Zhang