In this paper, we propose a Rotation-Invariant Coordinate Convolution (RIC-C), which achieves natural invariance to arbitrary rotations around the input center without additional trainable parameters ...
To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...
This project demonstrates how federated learning works by training local models on two separate datasets (simulating two clients) and combining their updates using Federated Averaging (FedAvg) — all ...
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