A Retrospective Study on Brain Tumor Image Generation using various GAN Architectures

A Retrospective Study on Brain Tumor Image Generation using various GAN Architectures
Author(s):
Sanjana Joshi, Aditi Ravi, Aishwarya D K, Ruth Sandra J, Pathanjali C
Keywords:
Generative adversarial networks, Generator, Discriminator, Brain Tumor.
Abstract
Brain tumors can have a lethal impact on humans. An estimate of 24,000 people lose their lives per year due to this abnormality. Several research papers were studied to gather valuable insights on the working of multiple combinations of GAN frameworks, which yielded a deeper understanding of the mechanism. U-Net architecture is one of the most commonly implemented frameworks of CNN particularly for medical images. Different approaches of testing on datasets were carried out to yield the respective results. This research is a cumulative study of various techniques on GAN models.
Article Details
Unique Paper ID: 158763 Publication Volume & Issue: Volume 9, Issue 10 Page(s): 673 - 679
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