Hyper-Dense_Lung_Seg: Multimodal-Fusion-Based Modified U-Net for Lung Tumour Segmentation Using Multimodality of CT-PET Scans

The majority of cancer-related deaths globally are due to lung cancer, which also has the second-highest mortality rate. The segmentation of lung tumours, treatment evaluation, and tumour stage classification have become significantly more accessible with the advent of PET/CT scans. With the advent...

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Detalles Bibliográficos
Autores principales: Alshmrani, Goram Mufarah, Ni, Qiang, Jiang, Richard, Muhammed, Nada
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670323/
https://www.ncbi.nlm.nih.gov/pubmed/37998617
http://dx.doi.org/10.3390/diagnostics13223481

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670323/
https://www.ncbi.nlm.nih.gov/pubmed/37998617
http://dx.doi.org/10.3390/diagnostics13223481

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