Exploiting Low-Dimensional Manifold of Features for Few-Shot Whole Slide Image Classification

Ali Nemati5 days ago27 sec read25 views

Researchers have identified overfitting in few-shot Whole Slide Image (WSI) classification as a geometric issue rather than just a data scarcity problem, proposing the Manifold Residual (MR) block to address this by preserving feature geometry and improving model performance with fewer parameters. This approach offers content creators a new method for enhancing accuracy in medical image analysis tasks with limited data.

Read the full article at arXiv cs.AI (Artificial Intelligence)

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