Segmentation of Histopathological Images with Convolutional Neural Networks using Fourier Features
| dc.authorid | Bilgin, Gokhan/0000-0002-5532-477X | |
| dc.authorwosid | Bilgin, Gokhan/W-2666-2018 | |
| dc.contributor.author | Hatipolu, Nuh | |
| dc.contributor.author | Bilgin, Gokhan | |
| dc.date.accessioned | 2024-06-12T11:03:20Z | |
| dc.date.available | 2024-06-12T11:03:20Z | |
| dc.date.issued | 2015 | |
| dc.department | Trakya Üniversitesi | en_US |
| dc.description | 23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEY | en_US |
| dc.description.abstract | The study aims to boost the success of the segmentation results by evaluating spatial relations in the segmentation of histopathalogical images. In the first step Fourier features are extracted from RGB color space of digital histopathalogical images. Training data sets are formed by selecting equal number of different cellular and extra-cellular structures in spatial domain from the images. Classification models of each training data set is obtained by utilizing Convolutional Neural Network (CNN), Support Vector Machine (SVM) and k-Nearest Neighbor (k-NN) methods. Visual and numerical outputs which are obtained from supervised training methods are presented for comparison purpose in the experimental results section. | en_US |
| dc.description.sponsorship | Dept Comp Engn & Elect & Elect Engn,Elect & Elect Engn,Bilkent Univ | en_US |
| dc.identifier.endpage | 458 | en_US |
| dc.identifier.isbn | 978-1-4673-7386-9 | |
| dc.identifier.issn | 2165-0608 | |
| dc.identifier.startpage | 455 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.14551/21605 | |
| dc.identifier.wos | WOS:000380500900092 | en_US |
| dc.identifier.wosquality | N/A | en_US |
| dc.indekslendigikaynak | Web of Science | en_US |
| dc.language.iso | tr | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.ispartof | 2015 23rd Signal Processing And Communications Applications Conference (Siu) | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Histopathologic Images | en_US |
| dc.subject | Convolutional Neural Network | en_US |
| dc.subject | Segmentation | en_US |
| dc.subject | Fourier Transform | en_US |
| dc.subject | Spatial Relations | en_US |
| dc.title | Segmentation of Histopathological Images with Convolutional Neural Networks using Fourier Features | en_US |
| dc.type | Conference Object | en_US |
