The Role of Machine Learning in Thyroid Cancer Diagnosis

Abstract

Thyroid cancer occurs in the thyroid gland cells.This is butterfly shaped gland which is situated at lower part of neck.Thyroid cancer might not cause any symptoms initially.But as the cancer grows, it causes pain and swelling in neck.To detect and classify abnormalities of the thyroid gland Ultrasound imaging is mostly used.Computer aided diagnosis (CAD) help healthcare sector to increase the diagnosis accuracy and to reduce biopsy ratio.Machine learning techniques play a vital role in diagnosing diseases from the medical database.Various diseases can be predicted early using machine learning techniques.In this study, many previous research works are reviewed which use machine learning techniques to predict thyroid cancer.Machine learning classification techniques like Decision tree Classification, Random Forest Classification, Naïve Bayes, Kernel SVM, K-Nearest Neighbours, Support vector Machines (SVM), Logistic regression etc. are reviewed from the research papers.A short description about machine learning and segmentation is also presented.

Ähnliche Arbeiten