A Deep Feature Learning Model for Pneumonia Detection Applying a Combination of mRMR Feature Selection and Machine Learning Models

Autor: Toğaçar, M., Ergen, B., Cömert, Z., Özyurt, F.

Publikováno v: In IRBM August 2020 41(4):212-222

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Experiences of Operating Room Nurses During the COVID-19 Pandemic: A Qualitative Study.

Autor: Ergen B; Department of Nursing, Zonguldak Bülent Ecevit University Health Science Institute, Zonguldak, Turkey., Taşdemir N; Department of Nursing, Zonguldak Bülent Ecevit University Faculty of Health Sciences, Zonguldak, Turkey., Yıldırım Tank D; Department of Nursing, Zonguldak Bülent Ecevit University Faculty of Health Sciences, Zonguldak, Turkey. Electronic address: dilekytank@beun.edu.tr.

Publikováno v: Journal of perianesthesia nursing : official journal of the American Society of PeriAnesthesia Nurses [J Perianesth Nurs] 2023 Aug; Vol. 38 (4), pp. 616-621. Date of Electronic Publication: 2022 Nov 24.

Tumor type detection in brain MR images of the deep model developed using hypercolumn technique, attention modules, and residual blocks.

Autor: Toğaçar M; Department of Computer Technology, Technical Sciences Vocational School, Fırat University, Elazig, Turkey. mtogacar@firat.edu.tr., Ergen B; Department of Computer Technology, Technical Sciences Vocational School, Fırat University, Elazig, Turkey., Cömert Z; Department of Software Engineering, Faculty of Engineering, Samsun University, Samsun, Turkey.

Publikováno v: Medical & biological engineering & computing [Med Biol Eng Comput] 2021 Jan; Vol. 59 (1), pp. 57-70. Date of Electronic Publication: 2020 Nov 21.

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