thyroid

Classification and Object Detection XAI methods (CAM-based, backpropagation-based, perturbation-based, statistic-based) for thyroid cancer ultrasound images

Attention Based Multi-Instance Thyroid Cytopathological Diagnosis with Multi-Scale Feature Fusion

Frequency-aware Interaction Network for Ultrasound Image Segmentation (FINet)

UCI Thyroid Classification - Python, Keras, scikit-learn, ANN

An implementation of multi-layer perceptron for classifying thyroid disease dataset

Throctor is an IoT robot that takes thermal image of users throat and predict the ojnset of thryoid. It uses advance deep learning technology to acheive this feature.

TensorFlow implementation of CNN architectures for thyroid nodule classification in ultrasound imaging

AI-Powered Thyroid Cancer Risk Dashboard

An Integrated Multimodal Approach for Thyroid Disease Detection Using Imaging and Clinical Data

AI-powered backend for the Thyroid Intelligent Assistant (TIA) — intelligent thyroid report analysis, health insights, trend tracking, and risk detection.

繁體中文去識別化 ATD agranulocytosis 病例指南：診斷、drug safety、Lithium、I-131、HFrEF、專家觀點與文獻證據

Large-scale thyroid ultrasound data analytics and EfficientNetB0-based AI classification using the TN5000 dataset, with leakage-aware preprocessing, statistical analysis, and a desktop research application.

Simulation reproduction of the coarse-localization stage of an autonomous robotic thyroid-ultrasound system (Isaac Sim + UR3 + RGB-D + MediaPipe).