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Table 1 Comparison with previous reviews

From: The role of generative adversarial networks in brain MRI: a scoping review

Previous review Year Scope and coverage Comparative contribution of our review
An overview of deep learning in medical imaging focusing on MRI [1] 2019 (1) It did not focus on GANs but rather covered many different deep learning methods
(2) It did not focus on just brain MRI but rather focused on different MRI
(3) It did not cover many recent studies as there has been an exponential rise in GANs-based methods for brain MRI during the last 2 years
(1) Our review is focused on GANs
(2) Our review is focused on brain MRI
(3) Our review covers many recent studies, published in 2020 and 2021
Review of deep learning approaches for the segmentation of multiple sclerosis lesions on brain MRI [2] 2020 (1) It did not focus on GANs but rather covered a broad range of deep learning methods
(2) It did not cover applications for brain MRI such as synthesis of brain MRI data, translation of brain MRI data, and deep learning for noise removal from brain MRI, etc.
(1) Our review is focused on GANs
(2) Our review covers all the possible applications for brain MRI
Generative adversarial network in medical imaging: A review [3] 2019 (1) It did not focus on brain MRI but rather covered all modalities of medical imaging
(2) It did not cover many recent studies published in 2020 and 2021, as there has been an exponential rise in studies for brain MRI during the last 2 years
(1) Our review is focused on brain MRI
(2) Our review covers many recent studies, published in 2020 and 2021