Early esophagus cancer segmentation from gastrointestinal endoscopic images based on U-Net++ model

Automatic segmentation of early esophagus cancer (EEC) in gastrointestinal endoscopy (GIE) images is a critical and challenging task in clinical settings, which relies primarily on labor-intensive and time-consuming routines. EEC has often been diagnosed at the late stage since early signs of cancer...

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Bibliografski detalji

Glavni autori:	Zenebe Markos Lonseko, Cheng-Si Luo, Wen-Ju Du, Tao Gan, Lin-Lin Zhu, Prince Ebenezer Adjei, Ni-Ni Rao
Format:	Artigo
Jezik:	Inglês
Izdano:	KeAi Communications Co., Ltd. 2023-09-01
Serija:	Journal of Electronic Science and Technology
Teme:	Early esophagus cancer (EEC) Gastrointestinal endoscopic (GIE) images Semantic segmentation Supervised learning U-Net++
Online pristup:	http://www.sciencedirect.com/science/article/pii/S1674862X2300023X
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