Recent trends and analysis of Generative Adversarial Networks in Cervical Cancer Imaging

T Sood - arXiv preprint arXiv:2209.12680, 2022 - arxiv.org
Cervical cancer is one of the most common types of cancer found in females. It contributes to
6-29% of all cancers in women. It is caused by the Human Papilloma Virus (HPV). The 5 …

Geração de imagens citológicas sintéticas através de redes generativas adversárias.

VMS Bispo - 2024 - monografias.ufop.br
O câncer de colo de útero é o quarto mais frequente nas mulheres brasileiras. Por ser uma
condição sem sintomas aparentes e de evolução gradual, muitas vezes passa …

[PDF][PDF] Data Science and Management

P Singh - researchgate.net
Artificial intelligence (AI) relies on data and algorithms. State-of-the-art (SOTA) AI smart
algorithms have been developed to improve the performance of AI-oriented structures …

[PDF][PDF] Learning-Based Cell Image Synthesis

D Wiesner - is.muni.cz
Abstract Machine learning techniques have an increasing presence in biomedical image
analysis. They can provide solutions to tasks that would be too time-consuming or error …

[PDF][PDF] Generative Adversarial Networks in Medical Image Augmentation: A

Y Chen, XH Yang, Z Wei, AA Heidari, N Zheng, Z Li - researchgate.net
Object: With the development of deep learning, the number of training samples for medical
image-based diagnosis and treatment models is increasing. Generative Adversarial …