The Basic Classification
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Updated
Jul 5, 2022 - Jupyter Notebook
The Basic Classification
Attention Based Multi-Instance Thyroid Cytopathological Diagnosis with Multi-Scale Feature Fusion
Rule-Based Thyroid Whole Slide Image Diagnosis
Pediatric Thyroid Cancer Explorer - A web application to explore PTC dataset
Desktop and mobile thyroid cancer TNM staging web app | 甲状腺癌 TNM 分期桌面与手机版网页工具
ThyRAD – Thyroid Radioactive Decay Predictor Tool. Open-access, JavaScript-based web app to simulate ¹³¹I decay using mono-exponential and piecewise multi-segmentedmodels. Features include half-life estimation, decay tables, time–activity curves, AUC calculation.
An end-to-end data science project analyzing thyroid cancer recurrence using Python. Features rigorous statistical testing (Chi-square, Kruskal-Wallis) and predictive modeling with XGBoost and Random Forest to evaluate clinical outcomes.
Predicting thyroid cancer risk using machine learning techniques with R, Python, and a web-based application. Built for a student project.
Prognostics biomarkers for Thyroid Cancer
Benchmarking ML models for predicting DT Cancer recurrence with nested CV and explaining predictions with SHAP (XAI).
Thyroid Ultrasound Image Classification for Disease Diagnosis / โมเดลจำเเนกรูปภาพอัลตราซาวนด์เพื่อตรวจมะเร็งไทรอยด์
Xcode project for iPhone app Endo Tools - An app for physicians / endocrinologists to do complex medical calculations and decisions with few clicks
Thyroid cancer research lakehouse — 11,673 patients, 13 tables, interactive Streamlit dashboard backed by MotherDuck
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