GÓMEZ-FLORES, Wilfrido und PEREIRA, Wagner Coelho de Albuquerque, 2023. Gray-to-color image conversion in the classification of breast lesions on ultrasound using pre-trained deep neural networks. Medical & Biological Engineering & Computing. 1 Dezember 2023. Vol. 61, no. 12, p. 3193-3207. DOI 10.1007/s11517-023-02928-6.
Elsevier - Harvard (with titles)Gómez-Flores, W., Pereira, W.C. de A., 2023. Gray-to-color image conversion in the classification of breast lesions on ultrasound using pre-trained deep neural networks. Medical & Biological Engineering & Computing 61, 3193-3207. https://doi.org/10.1007/s11517-023-02928-6
American Psychological Association 7th editionGómez-Flores, W., & Pereira, W. C. de A. (2023). Gray-to-color image conversion in the classification of breast lesions on ultrasound using pre-trained deep neural networks. Medical & Biological Engineering & Computing, 61(12), 3193-3207. https://doi.org/10.1007/s11517-023-02928-6
Springer - Basic (author-date)Gómez-Flores W, Pereira WC de A (2023) Gray-to-color image conversion in the classification of breast lesions on ultrasound using pre-trained deep neural networks.. Medical & Biological Engineering & Computing 61:3193-3207. https://doi.org/10.1007/s11517-023-02928-6
Juristische Zitierweise (Stüber) (Deutsch)Gómez-Flores, Wilfrido/ Pereira, Wagner Coelho de Albuquerque, Gray-to-color image conversion in the classification of breast lesions on ultrasound using pre-trained deep neural networks., Medical & Biological Engineering & Computing 2023, 3193-3207.