Medical Imaging | Oncology | Radiology SK-Unet++: An improved Unet++ network with adaptive receptive fields for automatic segmentation of ultrasound thyroid nodule images. August 22, 2023
Endocrinology | Radiology Stratifying High-Risk Thyroid Nodules Using a Novel Deep Learning System. August 21, 2023
Radiology An adaptive multi-modal hybrid model for classifying thyroid nodules by combining ultrasound and infrared thermal images. August 19, 2023
Radiology Improving the Efficacy of ACR TI-RADS Through Deep Learning-Based Descriptor Augmentation. August 14, 2023
Radiology TS-DSANN: Texture and shape focused dual-stream attention neural network for benign-malignant diagnosis of thyroid nodules in ultrasound images. July 30, 2023
Radiology A Deep Learning Framework for the Characterization of Thyroid Nodules from Ultrasound Images Using Improved Inception Network and Multi-Level Transfer Learning. July 29, 2023
Endocrinology | Oncology | Pathology Pilot Study on the Use of Untargeted Metabolomic Fingerprinting of Liquid-Cytology Fluids as a Diagnostic Tool of Malignancy for Thyroid Nodules. July 29, 2023
Endocrinology | Oncology | Radiology A novel approach to quantify calcifications of thyroid nodules in US images based on deep learning: predicting the risk of cervical lymph node metastasis in papillary thyroid cancer patients. July 12, 2023
Artificial Intelligence | Endocrinology | Thyroidology Artificial Intelligence in Thyroidology: A Narrative Review of the Current Applications, Associated Challenges, and Future Directions. June 26, 2023
Pathology | Radiology Multistep Automated Data Labelling Procedure (MADLaP) for thyroid nodules on ultrasound: An artificial intelligence approach for automating image annotation. June 9, 2023
Radiology Deep learning for classification of thyroid nodules on ultrasound: validation on an independent dataset. April 28, 2023
Radiology A Novel Deep-Learning-Based CADx Architecture for Classification of Thyroid Nodules Using Ultrasound Images. March 28, 2023