Swin Transformer and Attention Guided Thyroid Nodule Segmentation on Ultrasound Images

The early detection of thyroid cancers depends on the ability to segment thyroid nodules.Thyroid ultrasound imaging is critical for diagnosing thyroid nodules.It is very challenging to correctly segment and extract the thyroid nodule from ultrasound pictures.To solve this issue, a deep learning-based segmentation module called Thyroid Region Prior Guided is recommended for the first segmentation process.This module uses three different forms of encoder, decoder, and thyroid region previous guidance to prepare for the nodule picture.This method uses ultrasound to precisely segment thyroid nodules utilizing the Swin Transformer and Attention Guided network.The DDTI dataset is used to assess the effectiveness and performance of the proposed model.The performance of the proposed model is evaluated using a number of metrics, such as accuracy of 83.43, F1-score of 68.35, IoU of 59.67, and Dice of 71.87, which ensures the best accuracy improvement over the models currently in use.