PMED-Net: Pyramid Based Multi-Scale Encoder-Decoder Network for Medical Image Segmentation

A pyramidical multi-scale encoder-decoder network, namely PMED-Net, is proposed for medical image segmentation. Different variants of encoder-decoder networks are in practice for segmenting the medical images and U-Net is the most widely used one. However, the existing architectures for segmenting m...

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Veröffentlicht in:	IEEE access Jg. 9; S. 55988 - 55998
Hauptverfasser:	Khan, Abbas, Kim, Hyongsuk, Chua, Leon
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Coders Convolutional neural networks Datasets Decoding Deep learning Diseases encoder-decoder architecture Encoders-Decoders Feature extraction Image segmentation Medical diagnostic imaging medical image processing Medical imaging Networks Parameters semantic segmentation Training
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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