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Medical Image Segmentation via Cascaded Attention Decoding

IEEE Workshop/Winter Conference on Applications of Computer Vision, 2023
Transformers have shown great promise in medical image segmentation due to their ability to capture long-range dependencies through self-attention. However, they lack the ability to learn the local (contextual) relations among pixels.
Md Mostafijur Rahman, R. Marculescu
semanticscholar   +1 more source

Decoder malfunction in BCH decoders

IEEE Transactions on Information Theory, 1990
A t-error-correcting bounded-distance decoder either produces the codeword nearest the received vector (if there is a codeword at distance no more than t) or indicates that no such codeword exists. However, BCH decoders based on the Peterson-Gorenstein-Zierler algorithm or the Euclidean algorithm can malfunction and produce output vectors that are not ...
Dilip V. Sarwate, R.D. Morrison
openaire   +2 more sources

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