Zobrazeno 1 - 5 of 5 pro vyhledávání: '"Irem Loc"'
1
Akademický článek
Accelerating photoacoustic microscopy by reconstructing undersampled images using diffusion models
Autor: Irem Loc, M. Burcin Unlu
Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Photoacoustic Microscopy (PAM) integrates optical and acoustic imaging, offering enhanced penetration depth for detecting optical-absorbing components in tissues. Nonetheless, challenges arise in scanning large areas with high spatial resolu
Externí odkaz: https://doaj.org/article/c695812289004608bd483192f1dc9705
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2
Akademický článek
Machine learning prediction of Gleason grade group upgrade between in-bore biopsy and radical prostatectomy pathology
Autor: Kaan Ozbozduman, Irem Loc, Selahattin Durmaz, Duygu Atasoy, Mert Kilic, Hakan Yildirim, Tarik Esen, Metin Vural, M. Burcin Unlu
Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract This study aimed to enhance the accuracy of Gleason grade group (GG) upgrade prediction in prostate cancer (PCa) patients who underwent MRI-guided in-bore biopsy (MRGB) and radical prostatectomy (RP) through a combined analysis of prebiopsy
Externí odkaz: https://doaj.org/article/bca5f5931e474ff086a572bb0b312394
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4
Raman Signal Denoising using Fully Convolutional Encoder Decoder Network
Autor: Irem Loc, Ibrahim Kecoglu, Mehmet Burcin Unlu, Ugur Parlatan
Raman spectroscopy is a vibrational method that gives molecular information rapidly and non-invasively. Despite its advantages, the weak intensity of Raman spectroscopy leads to low-quality signals, particularly with tissue samples. The requirement o
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9f4462512f11cab44331265dec7a6cdd
https://doi.org/10.1101/2022.01.07.475347
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