Automatic detection of cancer metastasis in lymph node using deep learning

Basit Öğe Kaydı
dc.authorid0000-0002-5938-565Xen_US
dc.authorid0000-0001-9219-2262en_US
dc.authorid0000-0003-2995-8282en_US
dc.contributor.authorBütün, Ertan
dc.contributor.authorUçan, Murat
dc.contributor.authorKaya, Mehmet
dc.date.accessioned2023-08-07T07:56:04Z
dc.date.available2023-08-07T07:56:04Z
dc.date.issued2023en_US
dc.departmentDicle Üniversitesi, Diyarbakır Teknik Bilimler Meslek Yüksekokulu, Bilgisayar Teknolojileri Bölümüen_US
dc.description.abstractLymph node metastases are one of the most indicator of some cancer types such as breast, colon and prostate. Breast cancer mostly spreads to lymph nodes in the armpit and it is one of the most common causes of death in women worldwide. Pathologists need more attention and time to diagnose metastasis in digitized lymph node images and also this process tends to be misinterpreted. In this paper, a promising deep learning based approach was presented to detect cancer metastasis in lymph node images with higher accuracy. The proposed deep learning framework uses ResNet architectures, transfer learning and 1cycle policy which is the method of finding the optimal learning rate. The validity of the proposed approach was evaluated on PCAM dataset consisted of 220,025 lymph node images. The experiments demonstrated that the presented method outperformed most of the current studies, achieving accuracy of 98.60% on the PCAM dataset by using ResNet models and fine-tuning techniques effectively. The burden of diagnosis procedure of metastasis can be lessened with the proposed deep learning framework in the clinical applications.en_US
dc.identifier.citationBütün, E., Uçan, M. ve Kaya, M. (2023). Automatic detection of cancer metastasis in lymph node using deep learning. Biomedical Signal Processing and Control, (82), 1-8.en_US
dc.identifier.doi10.1016/j.bspc.2022.104564
dc.identifier.endpage8en_US
dc.identifier.issn1746-8094
dc.identifier.issn1746-8108
dc.identifier.issue82en_US
dc.identifier.scopus2-s2.0-85145265538
dc.identifier.scopusqualityQ1
dc.identifier.startpage1en_US
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S1746809422010187?via%3Dihub
dc.identifier.urihttps://hdl.handle.net/11468/12438
dc.identifier.wosWOS:000914952700001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorUçan, Murat
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofBiomedical Signal Processing and Control
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDeep learningen_US
dc.subjectConvolutional neural networken_US
dc.subjectLymph node metastasisen_US
dc.subjectCancer detectionen_US
dc.titleAutomatic detection of cancer metastasis in lymph node using deep learningen_US
dc.titleAutomatic detection of cancer metastasis in lymph node using deep learning
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
Automatic detection of cancer metastasis in lymph node using.pdf
Boyut:
4.11 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Makale Dosyası
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Diyarbakır Teknik Bilimler Meslek Yüksekokulu Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu