We attempted this challenge as part of our Deep Learning and Neural Networks Major Project.
Axial
Coronal
Sagittal
Implementation details of U-Net, SamNet, VGG-Net and nnU-Net: :
The corresponding report contains a literature review along with other scientific details. We were restricted in length here, but not in the notebook above.
Fashion-MNIST is a modern drop-in replacement for MNIST. Released by Zalando Research in 2017, it packs 70 000 tiny grayscale images of apparel—sneakers, shirts, coats—into a lightweight benchmark. Its familiar format keeps setup trivial, while richer visuals pose a tougher challenge.
Zalando’s quality-control cameras captured millions of 96 × 96 product shots. Han Xiao et al. down-sampled these to 28 × 28, grouped them into ten balanced classes, and open-sourced the result. The idea: upgrade MNIST difficulty without touching loaders or evaluation scripts.
vs. stable diffusion. EXPERIMENTS
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