Assessing the Impact of Image Resolution on Deep Learning for TB Lesion Segmentation on Frontal Chest X-rays

Deep learning (DL) models are state-of-the-art in segmenting anatomical and disease regions of interest (ROIs) in medical images. Particularly, a large number of DL-based techniques have been reported using chest X-rays (CXRs). However, these models are reportedly trained on reduced image resolution...

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Detalles Bibliográficos
Autores principales: Rajaraman, Sivaramakrishnan, Yang, Feng, Zamzmi, Ghada, Xue, Zhiyun, Antani, Sameer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955202/
https://www.ncbi.nlm.nih.gov/pubmed/36832235
http://dx.doi.org/10.3390/diagnostics13040747

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955202/
https://www.ncbi.nlm.nih.gov/pubmed/36832235
http://dx.doi.org/10.3390/diagnostics13040747

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