IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques

Colorectal polyps in the colon or rectum are precancerous growths that can lead to a more severe disease called colorectal cancer. Accurate segmentation of polyps using medical imaging data is essential for effective diagnosis. However, manual segmentation by endoscopists can be time-consuming, erro...

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Detalles Bibliográficos
Autores principales: Ahamed, Md. Faysal, Syfullah, Md. Khalid, Sarkar, Ovi, Islam, Md. Tohidul, Nahiduzzaman, Md., Islam, Md. Rabiul, Khandakar, Amith, Ayari, Mohamed Arselene, Chowdhury, Muhammad E. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534485/
https://www.ncbi.nlm.nih.gov/pubmed/37765780
http://dx.doi.org/10.3390/s23187724

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534485/
https://www.ncbi.nlm.nih.gov/pubmed/37765780
http://dx.doi.org/10.3390/s23187724

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