Semi-Supervised Segmentation Framework for Gastrointestinal Lesion Diagnosis in Endoscopic Images

Background: Accurate gastrointestinal (GI) lesion segmentation is crucial in diagnosing digestive tract diseases. An automatic lesion segmentation in endoscopic images is vital to relieving physicians’ burden and improving the survival rate of patients. However, pixel-wise annotations are highly int...

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Detalles Bibliográficos
Autores principales: Lonseko, Zenebe Markos, Du, Wenju, Adjei, Prince Ebenezer, Luo, Chengsi, Hu, Dingcan, Gan, Tao, Zhu, Linlin, Rao, Nini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864320/
https://www.ncbi.nlm.nih.gov/pubmed/36675779
http://dx.doi.org/10.3390/jpm13010118

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864320/
https://www.ncbi.nlm.nih.gov/pubmed/36675779
http://dx.doi.org/10.3390/jpm13010118

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