Prostate Lesion Estimation using Prostate Masks from Biparametric MRI

no code implementations • 11 Jan 2023 • Ahmet Karagoz, Mustafa Ege Seker, Mert Yergin, Tarkan Atak Kan, Mustafa Said Kartal, Ercan Karaarslan, Deniz Alis, Ilkay Oksuz

Biparametric MRI has emerged as an alternative to multiparametric prostate MRI, which eliminates the need for the potential harms to the patient due to the contrast medium.

Shifted Windows Transformers for Medical Image Quality Assessment

no code implementations • 11 Aug 2022 • Caner Ozer, Arda Guler, Aysel Turkvatan Cansever, Deniz Alis, Ercan Karaarslan, Ilkay Oksuz

While we obtain a classification accuracy of 87. 1% and 95. 48% on the Object-CXR and LVOT datasets, our experimental results suggest that the use of Swin Transformer improves the Object-CXR classification performance while obtaining a comparable performance for the LVOT dataset.

Classification Image Classification +2