UCI Thyroid Classification - Python, Keras, scikit-learn, ANN
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Updated
Apr 26, 2019 - Python
UCI Thyroid Classification - Python, Keras, scikit-learn, ANN
Attention Based Multi-Instance Thyroid Cytopathological Diagnosis with Multi-Scale Feature Fusion
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.
An implementation of multi-layer perceptron for classifying thyroid disease dataset
Classification and Object Detection XAI methods (CAM-based, backpropagation-based, perturbation-based, statistic-based) for thyroid cancer ultrasound images
Frequency-aware Interaction Network for Ultrasound Image Segmentation (FINet)
AI-Powered Thyroid Cancer Risk Dashboard
TensorFlow implementation of CNN architectures for thyroid nodule classification in ultrasound imaging
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.
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.
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
Simulation reproduction of the coarse-localization stage of an autonomous robotic thyroid-ultrasound system (Isaac Sim + UR3 + RGB-D + MediaPipe).
Check 23andMe/Ancestry/MyHeritage/FTDNA raw data for thyroid-related and common SNPs. Runs entirely in your browser.
Thyroid nodule classification from ultrasound: Vision Transformers vs CNNs with patient-level evaluation, shortcut checks and a FastAPI + React demo.
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