On the Identification of Thyroid Nodules using Semi-Supervised Deep Learning.
Sign Up to like & getrecommendations! Published in 2021 at "International journal for numerical methods in biomedical engineering"
DOI: 10.1002/cnm.3433
Abstract: Detecting malign cases from thyroid nodule examinations is crucial in healthcare particularly to improve the early detection of such cases. However, malign thyroid nodules can be extremely rare and is hard to find using the… read more here.
Keywords: thyroid nodules; nodules using; identification thyroid; thyroid ... See more keywords
Attribute-guided image generation of three-dimensional computed tomography images of lung nodules using a generative adversarial network
Sign Up to like & getrecommendations! Published in 2020 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2020.104032
Abstract: PURPOSE To develop and evaluate a three-dimensional (3D) generative model of computed tomography (CT) images of lung nodules using a generative adversarial network (GAN). To guide the GAN, lung nodule size was used. MATERIALS AND… read more here.
Keywords: images lung; nodule size; nodules using; lung nodules ... See more keywords
Discriminating the Nature of Thyroid Nodules Using the Hybrid Method
Sign Up to like & getrecommendations! Published in 2020 at "Mathematical Problems in Engineering"
DOI: 10.1155/2020/6147037
Abstract: Prompt and correct diagnosis of benign and malignant thyroid nodules has always been a core issue in the clinical practice of thyroid nodules. Ultrasound imaging is one of the most common visualizing tools used by… read more here.
Keywords: thyroid nodules; method; nodules using; nature thyroid ... See more keywords