[HTML][HTML] A generative adversarial network for synthetization of regions of interest based on digital mammograms
Deep learning (DL) models are becoming pervasive and applicable to computer vision,
image processing, and synthesis problems. The performance of these models is often …
image processing, and synthesis problems. The performance of these models is often …
[PDF][PDF] A generative adversarial network for synthetization of regions of interest based on digital mammograms
ON Oyelade1Ε, AE Ezugwu1Ε, MS Almutairi… - Scientific …, 2022 - researchgate.net
Deep learning (DL) models are becoming pervasive and applicable to computer vision,
image processing, and synthesis problems. The performance of these models is often …
image processing, and synthesis problems. The performance of these models is often …
A generative adversarial network for synthetization of regions of interest based on digital mammograms
ON Oyelade, AE Ezugwu, MS Almutairi… - Scientific …, 2022 - pubmed.ncbi.nlm.nih.gov
Deep learning (DL) models are becoming pervasive and applicable to computer vision,
image processing, and synthesis problems. The performance of these models is often …
image processing, and synthesis problems. The performance of these models is often …
[HTML][HTML] A generative adversarial network for synthetization of regions of interest based on digital mammograms
ON Oyelade, AE Ezugwu, MS Almutairi, AK Saha… - Scientific …, 2022 - ncbi.nlm.nih.gov
Deep learning (DL) models are becoming pervasive and applicable to computer vision,
image processing, and synthesis problems. The performance of these models is often …
image processing, and synthesis problems. The performance of these models is often …
[PDF][PDF] A generative adversarial network for synthetization of regions of interest based on digital mammograms
ON Oyelade1Ε, AE Ezugwu1Ε, MS Almutairi… - Scientific Reports, 2022 - cse.unr.edu
Deep learning (DL) models are becoming pervasive and applicable to computer vision,
image processing, and synthesis problems. The performance of these models is often …
image processing, and synthesis problems. The performance of these models is often …
A generative adversarial network for synthetization of regions of interest based on digital mammograms.
ON Oyelade, AE Ezugwu, MS Almutairi… - Scientific …, 2022 - search.ebscohost.com
Deep learning (DL) models are becoming pervasive and applicable to computer vision,
image processing, and synthesis problems. The performance of these models is often …
image processing, and synthesis problems. The performance of these models is often …
A generative adversarial network for synthetization of regions of interest based on digital mammograms.
ON Oyelade, AE Ezugwu, MS Almutairi, AK Saha… - Scientific …, 2022 - europepmc.org
Deep learning (DL) models are becoming pervasive and applicable to computer vision,
image processing, and synthesis problems. The performance of these models is often …
image processing, and synthesis problems. The performance of these models is often …
A generative adversarial network for synthetization of regions of interest based on digital mammograms
ON Oyelade, AE Ezugwu, MS Almutairi… - Scientific …, 2022 - ui.adsabs.harvard.edu
Deep learning (DL) models are becoming pervasive and applicable to computer vision,
image processing, and synthesis problems. The performance of these models is often …
image processing, and synthesis problems. The performance of these models is often …
[PDF][PDF] A generative adversarial network for synthetization of regions of interest based on digital mammograms
ON Oyelade1Ε, AE Ezugwu1Ε, MS Almutairi… - Scientific …, 2022 - researchgate.net
Deep learning (DL) models are becoming pervasive and applicable to computer vision,
image processing, and synthesis problems. The performance of these models is often …
image processing, and synthesis problems. The performance of these models is often …
A generative adversarial network for synthetization of regions of interest based on digital mammograms.
ON Oyelade, AE Ezugwu, MS Almutairi, AK Saha… - Scientific …, 2022 - europepmc.org
Deep learning (DL) models are becoming pervasive and applicable to computer vision,
image processing, and synthesis problems. The performance of these models is often …
image processing, and synthesis problems. The performance of these models is often …