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arXiv Computer Vision By Jan Herschel, Anselm von Gladiss

TAN: A Size- and Form-Adaptive Masked-Convolution Encoder for Tissue Graphs

Read the original on arXiv Computer Vision →

TAN (Tissue‑Aware Network) is a lightweight convolutional encoder that processes tissue‑conforming superpixels in their native shape, avoiding background leakage from padding or masking. It achieves accuracy on the BACH histology dataset comparable to a 303‑million‑parameter foundation model while using only 0.41 M parameters and 1,190× fewer FLOPs, and its embeddings are invariant to the choice of fill value. On the BRACS dataset, TAN performs close to a ResNet18 trained under the same protocol and outperforms standard masked‑crop processing with less than half the computational cost.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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