Bioinformatics | Genomics | Oncology MSI-XGNN: an explainable GNN computational framework integrating transcription- and methylation-level biomarkers for microsatellite instability detection. October 14, 2023
Endocrinology | Oncology | Radiology | Surgery An integrated nomogram combining deep learning, clinical characteristics and ultrasound features for predicting central lymph node metastasis in papillary thyroid cancer: A multicenter study. March 10, 2023
Endocrinology | Radiology Automatic classification of thyroid nodules in ultrasound images using a multi-task attention network guided by clinical knowledge. October 15, 2022
Dermatology | Oncology | Radiology FBCU-Net: A fine-grained context modeling network using boundary semantic features for medical image segmentation. October 14, 2022
Computer-aided diagnosis | Radiology Feature discretization-based deep clustering for thyroid ultrasound image feature extraction. July 29, 2022
Endocrinology | Radiology Multitask network for thyroid nodule diagnosis based on TI-RADS. May 24, 2022
Endocrinology | Oncology | Radiology Improved diagnosis of thyroid cancer aided with deep learning applied to sonographic text reports: a retrospective, multi-cohort, diagnostic study. September 7, 2021
Endocrinology | Radiology Thyroid nodules risk stratification through deep learning based on ultrasound images. October 22, 2020
Computer-aided detection systems | Radiology Cascade marker removal algorithm for thyroid ultrasound images. August 25, 2020
Endocrinology | Radiology Visual Interpretability in Computer-Assisted Diagnosis of Thyroid Nodules Using Ultrasound Images. August 16, 2020
Artificial Intelligence | Endocrinology | Radiology Ensemble Deep Learning Model for Multicenter Classification of Thyroid Nodules on Ultrasound Images. June 19, 2020