Feb. 6, 2024, 2:20 p.m. | /u/DerKaggler

Deep Learning www.reddit.com

Hey guys :)

I'm in the literature research phase of my master's thesis. I will be comparing CNN and ViT architectures for medical image classification. The goal is to evaluate the best architectures on a novel university-created dataset.

**The problem is:** How do I decide which architectures to compare ? I've tried Google Scholar and Papers With Code, but personally, I find it difficult to determine which architectures are worth incorporating and can be considered state-of-the-art. There are so many …

architectures art classification cnn dataset deeplearning hey image literature master medical novel research searching state thesis tips university vit will

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