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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Veröffentlicht in:	Journal of Electronic Science and Technology 2023-09, Vol.21 (3), p.100205-51, Article 100205
Hauptverfasser:	Lonseko, Zenebe Markos, Luo, Cheng-Si, Du, Wen-Ju, Gan, Tao, Zhu, Lin-Lin, Adjei, Prince Ebenezer, Rao, Ni-Ni
Format:	Artikel
Sprache:	eng
Schlagworte:	Early esophagus cancer (EEC) Gastrointestinal endoscopic (GIE) images Semantic segmentation Supervised learning U-Net
Online-Zugang:	Volltext
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