ThyroNet A Hybrid Deep Learning Model for Early Prediction of Recurrence in Thyroid Cancer Patients
This paper introduces ThyroNet, a hybrid deep learning model combining CNN, BiLSTM, and DNN layers that achieves high accuracy (94.81% testing accuracy) in predicting thyroid cancer recurrence by effectively analyzing clinical and pathological features to support personalized treatment planning.