Breast Ultrasound Images Augmentation and Segmentation Using GAN with Identity Block and Modified U-Net 3+

Breast Ultrasound Images Augmentation and Segmentation Using GAN with Identity Block and Modified U-Net 3+

One of the most prevalent diseases affecting women in recent years is breast cancer. Early breast cancer detection can help in the treatment, lower the infection risk, and worsen the results. This paper presents a hybrid approach for augmentation and segmenting breast cancer. The framework contains...

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Bibliographic Details
Main Authors: Meshrif Alruily, Wael Said, Ayman Mohamed Mostafa, Mohamed Ezz, Mahmoud Elmezain
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Sensors
Subjects:
ultrasounds
breast cancer
augmentation
segmentation
U-Net 3+
Online Access:https://www.mdpi.com/1424-8220/23/20/8599

Internet

https://www.mdpi.com/1424-8220/23/20/8599

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