However, publicly available thyroid ultrasound datasets remain scarce. In this study, we developed the Ultrasound Dataset for Thyroid Nodules (UD-TN), a comprehensive dataset containing 10,495 labeled images classified as benign or malignant based on pathology-confirmed results. To establish a bench...
The current thyroid ultrasound relies heavily on the experience and skills of the sonographer and the expertise of the radiologist, and the process is physically and cognitively exhausting. In this paper, we report a fully autonomous robotic ultrasound s
Ultrasound examination cannot distinguish a benign from a malignant process. Thyroid scans using radioactive iodine are often performed to evaluate the function of thyroid nodules. The thyroid is the only location in the body that takes up iodine, so when radioactively labeled iodine is given, it...
Thyroid ultrasound.It may be ordered if your blood tests or exam are abnormal, to look for inflammation or unusual swelling or nodules around your thyroid gland. Hypothyroidism Treatment If you have hypothyroidism, your doctor will prescribe a synthetic (human-made) thyroid hormone called levothyroxin...
CIL-Net: Densely Connected Context Information Learning Network for Boosting Thyroid Nodule Segmentation Using Ultrasound Images 2024, Cognitive Computation A Framework for Detecting Thyroid Cancer from Ultrasound and Histopathological Images Using Deep Learning, Meta-Heuristics, and MCDM Algorithms 2023, Journ...
Thyroid Nodule Segmentation and Classification in Ultrasound ImagesDataset In the challenge, the participants will be provided the US nodular thyroid dataset supplied by Shanghai Ruijin Hospital. This data comes from the Chinese Medical Ultrasound Artificial Intelligence Alliance (CMUAA) initiated by doctor...
Deep learning-based CAD system design for thyroid tumor characterization using ultrasound images Niranjan Yadav Rajeshwar Dass Jitendra Virmani Multimedia Tools and Applications (2023) A comparison of artificial intelligence versus radiologists in the diagnosis of thyroid nodules using ultrasonography: a ...
A local and global feature disentangled network: toward classification of benign-malignant thyroid nodules from ultrasound image. IEEE Trans Med Imaging. 2022;41(6):1497–509. https://doi.org/10.1109/TMI.2022.3140797. Article PubMed Google Scholar Zheng P, Ding B, Shi R, et al. A ...
In this study, we have developed a DL-based ultrasound diagnostic tool, namely Thyroid Nodules Visualization (TNVis), which utilizes a large dataset of labeled two-dimensional (2D) static ultrasound images to achieve precise segmentation of dynamic ultrasound videos and to enable 3D visualization of...
The experiment results on ultrasound images of 1030 patients suggest that the MCDLM model can achieve almost the same classification performance as the fully supervised learning (an accuracy of 90.01% and an AUC of 91.07%) using only about 35% of the full labeled dataset, which saves a lot ...