Computer aided diagnosis of breast tumor segmentation and classification on CT images using machine learning
[ X ]
Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Altınbaş Üniversitesi
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Computed tomography and Mammography are a screening procedure for early identification of
breast tumor symptoms such as masses, calcifications, bilateral asymmetry, and architectural
deformation. Because human observers are limited, computers play a critical role in identifying
early indications of cancer. The vast range of characteristics that identify abnormalities, as well as
the fact that they are frequently indistinguishable from surrounding tissue, make computer-aided
breast abnormality detection difficult. This thesis investigates how to use well-known image
processing and machine learning techniques to help breast tumor diagnosis using: computed
tomography images and Mammography. Therefore, this research aims to develop a computeraided breast tumor screening technique (segmentation and classification) based on mammography
images that aid pathologists in their decision-making. Using machine learning methods based on
neural networks and logistic regression, a real application is created and constructed, which
includes both initial picture processing and subsequent cancer diagnosis. The app is tested on a set
of mammography pictures, and the results are displayed and explained in depth. The utilization of
a mix of neural networks and logistic regression in breast cancer diagnosis, as well as real breast
tumor images (with different location and size of tumors) acquired in collaboration with the Kirkuk
Hospital cancer center, distinguishes this thesis.
Açıklama
Anahtar Kelimeler
Brest Tumor, Image Processing Neural Network, Fuzzy c-Means and Thresholding (FCMT)
Kaynak
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
İzaddin, B. M. I. (2021). Computer aided diagnosis of breast tumor segmentation and classification on CT images using machine learning (Yayınlanmış yüksek lisans tezi). Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul.
