The Basic Classification

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

Machine learning using python. This system predicts if a person has thyroid or not on the basis of certain inputs taken from the patient.

An innovative approach to detect thyroid nodules using two popular deep learning models, ResNet50 and VGG16. Thyroid nodules are abnormal growths that develop within the thyroid gland, and their early detection plays a crucial role in diagnosing thyroid disorders and potential malignancies.

Created Thyroid Detection App using Streamlit

A thyroid disease detection, Amazon Sagemaker using Scikit-learn Pipeline (StandardScalar & SVM)

Code of Thyroid Disease Detection Project, which we can use to detect the thyroid disease of an individual.

Diagnostic Support System for Euthyroid Sick Syndrome based on Machine Learning Algorithms Approches

Thyroid Syndrome Detection using Machine Learning Algorithms 🔬

Employing two well-known deep learning models, ResNet50 and VGG16, in a novel way to identify thyroid lesions. The identification of thyroid nodules, which are atypical growths that arise inside the thyroid gland, is of paramount importance in the diagnosis of thyroid conditions and possible cancers.