How image generation can aid biomedical research?
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Image generation can aid biomedical research by providing authentic medical images for various applications such as medical image perception research, clinician training programs, and computer vision algorithms . Generative Adversarial Networks (GANs) have been used to generate high-quality authentic medical images, including mammogram, MRI, CT, and skin cancer images . These generated images can be manipulated to satisfy specific goals, tasks, or stimulus settings, making them suitable for behavioral experiments on medical image perception . Additionally, image generation can help in explaining the signals learned by AI models, increasing trust in AI-based models and enabling novel scientific discoveries . By automatically detecting and visualizing the top visual attributes that AI models are sensitive towards, researchers can formulate hypotheses for underlying mechanisms and better understand, improve assessment, and extract new knowledge from AI-based models .
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| Papers (5) | Insight |
|---|---|
| The paper proposes using image generation with a generative adversarial network (GAN) to produce photorealistic biomedical images, which can aid in biomedical research. | |
Open access•Posted Content | The paper discusses how generative adversarial networks (GANs) can be used for medical image generation, which can aid in various biomedical research applications such as image augmentation, image registration, and image reconstruction. |
01 Jun 2023 | The paper discusses how image generation using a StyleGAN-based approach called StylEx can aid biomedical research by providing visual explanations of AI models, detecting confounders, and generating new insights for future studies. |
| The paper proposes a method for automatic visual explanations using image generation to aid biomedical research by uncovering signals in medical imagery models and datasets. | |
9 Citations | The paper proposes using Generative Adversarial Networks (GAN) to generate authentic medical images for medical imaging studies, which can aid in biomedical research. |
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