Ultrasound Nodule Segmentation Using Asymmetric Learning with Simple Clinical Annotation

no code implementations • 23 Apr 2024 • Xingyue Zhao, Zhongyu Li, Xiangde Luo, Peiqi Li, Peng Huang, Jianwei Zhu, Yang Liu, Jihua Zhu, Meng Yang, Shi Chang, Jun Dong

Especially, an asymmetric learning framework is developed by extending the aspect ratio annotations with two types of pseudo labels, i. e., conservative labels and radical labels, to train two asymmetric segmentation networks simultaneously.

Anatomy Morphological Analysis +1

Synthetic Sonar Image Simulation with Various Seabed Conditions for Automatic Target Recognition

1 code implementation • 19 Oct 2022 • Jaejeong Shin, Shi Chang, Matthew Bays, Joshua Weaver, Tom Wettergren, Silvia Ferrari

We propose a novel method to generate underwater object imagery that is acoustically compliant with that generated by side-scan sonar using the Unreal Engine.

Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos

1 code implementation • 27 Jun 2022 • Yuchen Wang, Zhongyu Li, Xiangxiang Cui, Liangliang Zhang, Xiang Luo, Meng Yang, Shi Chang

Ultrasound examination is widely used in the clinical diagnosis of thyroid nodules (benign/malignant).

Video Classification