Classification of histological images of thyroid nodules based on a combination of Deep Features and Machine Learning
Linda BELLAL,
Meriem SAIM,
Amina BENAHMED
et al.
Abstract:Background: Thyroid nodules are a prevalent worldwide disease with complex pathological types. They can be classified as either benign or malignant. This paper presents a tool for automatically classifying histological images of thyroid nodules, with a focus on papillary carcinoma and follicular adenoma. Methods: In this work, two pre-trained Convolutional Neural Network (CNN) architectures, VGG16 and VGG19, are used to extract deep features. Then, a principal component analysis was used to reduce the dimensio… Show more
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