Unveiling the future of breast cancer assessment: a critical review on generative adversarial networks in elastography ultrasound

Unveiling the future of breast cancer assessment: a critical review on generative adversarial networks in elastography ultrasound

<p dir="ltr">Elastography Ultrasound provides elasticity information of the tissues, which is crucial for understanding the density and texture, allowing for the diagnosis of different medical conditions such as fibrosis and cancer. In the current medical imaging scenario, elastogram...

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Bibliographic Details
Main Author: Mohammed Yusuf Ansari (16904523) (author)
Other Authors: Marwa Qaraqe (10135172) (author), Raffaella Righetti (17585967) (author), Erchin Serpedin (3706543) (author), Khalid Qaraqe (16896504) (author)
Published: 2023
Subjects:
Biomedical and clinical sciences
Oncology and carcinogenesis
Health sciences
Health services and systems
Information and computing sciences
Artificial intelligence
generative adversarial networks
elastography ultrasound
breast cancer diagnosis
enhancing pocket ultrasound
computer-aided diagnosis
artificial intelligence in medical imaging
medical image synthesis
image-to-image translation
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