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

The Basic Classification

HTML5 templating made differently insane

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

AI TI-RADS system optimized using genetic algorithm

Thyroid Nodule image Classification based on Geometric and Morphological Features

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

Quantitative analysis of thyroid tumors vascularity: A comparison between 3-D contrast-enhanced ultrasound and 3-D Power Doppler on benign and malignant thyroid nodules

Physiology-based systems pharmacology model of thyroid hormones regulation in rat and human

Calculator software helping to determine L-T4 and L-T3 substitution dosage according to the algorithms provided by the European Thyroid Association (ETA).

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.

Created Thyroid Detection App using Streamlit

Nazzari, et al. (2023) 'Investigation of the effects of phthalates on in vitro thyroid models with RNA-Seq and ATAC-Seq'

Dr. Mahamaya Prasad Singh MCh Head and Neck Oncology and Reconstructive Surgery is currently a consultant at North East Cancer Hospital and Research Institute and a visiting surgeon to several hospitals in Guwahati. He has commendable expertise in Head and Neck Surgery, Reconstructive Surgery, Skull based surgeries, regional and Microvascular su…

Thyroid Disease Classification using Ultrasound Images

The most common thyroid disorder is hypothyroidism. Hypo- means deficient or under(active), so hypothyroidism is a condition in which the thyroid gland is underperforming or producing too little thyroid hormone.. Recognizing the symptoms of hypothyroidism is extremely important.

Accuracy- 98.7% on predicting the presence or absence of Thyroid

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