Publication:
Computerized Tomography Based Novel Features in Thyroid Cancer

No Thumbnail Available
Date
2017-01-01T00:00:00Z
Authors
Authors
Yıldırım, Mustafa Semih
Atasoy, Hakan
Ceylan, Ceren
AKAN, AYDIN
Journal Title
Journal ISSN
Volume Title
Publisher
Research Projects
Organizational Units
Journal Issue

Metrics

Search on Google Scholar

Abstract
Ultrasound imaging and Fine Needle Aspiration Biopsy, which used for diagnosis of thyroid cancer, don-t ensure sufficient sensitivity and specificity. Due to this fact, many patients undergo unnecessary thyroid removal. In this study, it is aimed to find new features based on non-invasive Computerized Tomography. 52 nodular goiter patients who underwent thyroid removal surgery with suspicion of cancer were included in the study. Resected fresh thyroid tissues were imaged using Computerized Tomography (CT). In CT images, background and noise estimation as well as elimination were applied. Thyroid images were automatically segmented and modified histograms were calculated. Afterwards, features based on these histograms were calculated and it is proposed that these features can be used to discriminate malignant and benign thyroids. Moreover, as an indirect finding of histograms, it is concluded that thyroidal volume can be a useful criterion in determination of malignancy.
Description
Keywords
Citation
Yıldırım M. S. , Atasoy H., Ceylan C., AKAN A., -Computerized Tomography Based Novel Features in Thyroid Cancer-, Medical Technologies National Congress (TIPTEKNO), Trabzon, Türkiye, 12 - 14 Ekim 2017
Page Views

3

File Downloads

0

Sustainable Development Goals