Determination of Appropriate Thresholding Method in Segmenta-tion Stage in Detecting Breast Cancer Cells
| dc.contributor.author | Akbaba, Cihat Ediz | |
| dc.contributor.author | Polat, Adem | |
| dc.date.accessioned | 2025-01-06T17:23:07Z | |
| dc.date.available | 2025-01-06T17:23:07Z | |
| dc.date.issued | 2022 | |
| dc.department | Adana Alparslan Türkeş Bilim ve Teknoloji Üniversitesi | |
| dc.description.abstract | As in all cancer types, the early detection of breast cancer is vital in terms of patients hold- ing on to life. Today, computer-aided image processing systems play an important role in the detection of diseases. Analyzing the imag-es with accurate image processing methods is very important for professionals to interpret the images and to devel-op the treatment methods for diseases appropriately. The images containing cancer cells (tumoroid) used in this study were obtained from the mini-Opto to- mography device that creates 3D images by reconstruction of 2D imag-es taken from different angles. It is an electronic, mechanical, and software-based device capable of 3D imaging of tumoroids up to 1 cm in diameter in size. Observing an entire tumor spheroid that has the size of several centi-meters in size in a single square image with a microscope is not possible, but with mini-Opto tomography it is possi-ble. In our study, a few layers of 3D images of the tumoroid produced by MCF-7 breast cancer cells obtained on the different days from the mini-Opto device were used. Image thresholding offers many advantages at the seg-mentation stage in order to distinguish the target objects. In this study, the determination of the most appropriate thresholding method for detecting the main tumor masses in the layered images was investigated. Moreover, the contours of the tumoroid were determined in the original images based on applying the outcomes of thresholding. While various thresholding methods have been applied on diverse images in the literature, we have applied a few thresholding methods to small tumors up to 2 mm in size. As a result of the qualitative assessment based on the results of the contour drawings on the thresholded images, the global thresholding and adaptive thresholding meth- ods gave the best results. | |
| dc.identifier.doi | 10.28979/jarnas.986661 | |
| dc.identifier.endpage | 62 | |
| dc.identifier.issn | 2757-5195 | |
| dc.identifier.issue | 1 | |
| dc.identifier.startpage | 54 | |
| dc.identifier.trdizinid | 1120993 | |
| dc.identifier.uri | https://doi.org/10.28979/jarnas.986661 | |
| dc.identifier.uri | https://search.trdizin.gov.tr/tr/yayin/detay/1120993 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14669/643 | |
| dc.identifier.volume | 8 | |
| dc.indekslendigikaynak | TR-Dizin | |
| dc.language.iso | en | |
| dc.relation.ispartof | Journal of advanced research in natural and applied sciences (Online) | |
| dc.relation.publicationcategory | Makale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.snmz | KA_20241211 | |
| dc.subject | Genel ve Dahili Tıp | |
| dc.subject | Onkoloji | |
| dc.subject | Biyokimya ve Moleküler Biyoloji | |
| dc.title | Determination of Appropriate Thresholding Method in Segmenta-tion Stage in Detecting Breast Cancer Cells | |
| dc.type | Article |
