A Bi-FPN-Based Encoder–Decoder Model for Lung Nodule Image Segmentation

Early detection and analysis of lung cancer involve a precise and efficient lung nodule segmentation in computed tomography (CT) images. However, the anonymous shapes, visual features, and surroundings of the nodules as observed in the CT images pose a challenging and critical problem to the robust...

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Detalles Bibliográficos
Autores principales: Annavarapu, Chandra Sekhara Rao, Parisapogu, Samson Anosh Babu, Keetha, Nikhil Varma, Donta, Praveen Kumar, Rajita, Gurindapalli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137204/
https://www.ncbi.nlm.nih.gov/pubmed/37189507
http://dx.doi.org/10.3390/diagnostics13081406

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137204/
https://www.ncbi.nlm.nih.gov/pubmed/37189507
http://dx.doi.org/10.3390/diagnostics13081406

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