[HTML][HTML] Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder
Y Jung, T Kim, MR Han, S Kim, G Kim, S Lee… - Scientific Reports, 2022 - nature.com
Discrimination of ovarian tumors is necessary for proper treatment. In this study, we
developed a convolutional neural network model with a convolutional autoencoder (CNN …
developed a convolutional neural network model with a convolutional autoencoder (CNN …
Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder
Y Jung, T Kim, MR Han, S Kim, G Kim… - Scientific …, 2022 - pubmed.ncbi.nlm.nih.gov
Discrimination of ovarian tumors is necessary for proper treatment. In this study, we
developed a convolutional neural network model with a convolutional autoencoder (CNN …
developed a convolutional neural network model with a convolutional autoencoder (CNN …
Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder.
Y Jung, T Kim, MR Han, S Kim, G Kim… - Scientific …, 2022 - search.ebscohost.com
Discrimination of ovarian tumors is necessary for proper treatment. In this study, we
developed a convolutional neural network model with a convolutional autoencoder (CNN …
developed a convolutional neural network model with a convolutional autoencoder (CNN …
Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder
Y Jung, T Kim, MR Han, S Kim, G Kim, S Lee… - Scientific …, 2022 - pure.kaist.ac.kr
Discrimination of ovarian tumors is necessary for proper treatment. In this study, we
developed a convolutional neural network model with a convolutional autoencoder (CNN …
developed a convolutional neural network model with a convolutional autoencoder (CNN …
[PDF][PDF] Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder
Y Jung, T Kim, MR Han, S Kim, G Kim, S Lee, YJ Choi - Scientific Reports, 2022 - d-nb.info
Results Removing marks via CAE. Figure 1 shows the images before and after removal of
marks via the CAE model. There are calipers and annotations around the ovary on the upper …
marks via the CAE model. There are calipers and annotations around the ovary on the upper …
[HTML][HTML] Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder
Y Jung, T Kim, MR Han, S Kim, G Kim, S Lee… - Scientific …, 2022 - ncbi.nlm.nih.gov
Discrimination of ovarian tumors is necessary for proper treatment. In this study, we
developed a convolutional neural network model with a convolutional autoencoder (CNN …
developed a convolutional neural network model with a convolutional autoencoder (CNN …
Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder
Y Jung, T Kim, MR Han, S Kim, G Kim, S Lee… - Scientific …, 2022 - cuk.elsevierpure.com
Discrimination of ovarian tumors is necessary for proper treatment. In this study, we
developed a convolutional neural network model with a convolutional autoencoder (CNN …
developed a convolutional neural network model with a convolutional autoencoder (CNN …
Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder.
Y Jung, T Kim, MR Han, S Kim, G Kim, S Lee… - Scientific …, 2022 - europepmc.org
Discrimination of ovarian tumors is necessary for proper treatment. In this study, we
developed a convolutional neural network model with a convolutional autoencoder (CNN …
developed a convolutional neural network model with a convolutional autoencoder (CNN …
Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder
Y Jung, T Kim, MR Han, S Kim, G Kim… - Scientific …, 2022 - ui.adsabs.harvard.edu
Discrimination of ovarian tumors is necessary for proper treatment. In this study, we
developed a convolutional neural network model with a convolutional autoencoder (CNN …
developed a convolutional neural network model with a convolutional autoencoder (CNN …
Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder
Y Jung, T Kim, MR Han, S Kim, G Kim… - SCIENTIFIC …, 2022 - koasas.kaist.ac.kr
Discrimination of ovarian tumors is necessary for proper treatment. In this study, we
developed a convolutional neural network model with a convolutional autoencoder (CNN …
developed a convolutional neural network model with a convolutional autoencoder (CNN …