CAE SynthImgGen: Revolutionizing cancer diagnosis with convolutional autoencoder-based synthetic image generation

Medical imaging is pivotal in modern healthcare, offering a visual window into the human body’s intricate structures and functions. However, the scarcity of diverse and representative medical images significantly limits research progress. Today, deep learning algorithms are increasingly incorporated...

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Autors principals:	Shivalila Hangaragi, N. Neelima, Vivek Venugopal, Somnath Ganguly, Joyti Mudi, Joon-Ho Choi
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2025-03-01
Col·lecció:	Alexandria Engineering Journal
Matèries:	Convolutional autoencoder Synthetic image generation Convolutional neural network SSIM Lung cancer classification
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S1110016824016375
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