DECTNet: Dual Encoder Network combined convolution and Transformer architecture for medical image segmentation.

DECTNet: Dual Encoder Network combined convolution and Transformer architecture for medical image segmentation.

Automatic and accurate segmentation of medical images plays an essential role in disease diagnosis and treatment planning. Convolution neural networks have achieved remarkable results in medical image segmentation in the past decade. Meanwhile, deep learning models based on Transformer architecture...

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Bibliographic Details
Main Authors:	Boliang Li, Yaming Xu, Yan Wang, Bo Zhang
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2024-01-01
Series:	PLoS ONE
Online Access:	https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0301019&type=printable

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