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Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT
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G. Bulut Et Al. , "Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT," PLoS ONE , vol.18, no.9 September, 2023

Bulut, G. Et Al. 2023. Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT. PLoS ONE , vol.18, no.9 September .

Bulut, G., ATILGAN, H. İ., ÇINARER, G., KILIÇ, K., Yıkar, D., & PARLAR, T., (2023). Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT. PLoS ONE , vol.18, no.9 September.

Bulut, Gülcan Et Al. "Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT," PLoS ONE , vol.18, no.9 September, 2023

Bulut, Gülcan Et Al. "Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT." PLoS ONE , vol.18, no.9 September, 2023

Bulut, G. Et Al. (2023) . "Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT." PLoS ONE , vol.18, no.9 September.

@article{article, author={Gülcan Bulut Et Al. }, title={Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT}, journal={PLoS ONE}, year=2023}