Image Augmentation Techniques for Mammogram Analysis

Research in the medical imaging field using deep learning approaches has become progressively contingent. Scientific findings reveal that supervised deep learning methods’ performance heavily depends on training set size, which expert radiologists must manually annotate. The latter is quite a tiring...

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Detalles Bibliográficos
Autores principales: Oza, Parita, Sharma, Paawan, Patel, Samir, Adedoyin, Festus, Bruno, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147240/
https://www.ncbi.nlm.nih.gov/pubmed/35621905
http://dx.doi.org/10.3390/jimaging8050141

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147240/
https://www.ncbi.nlm.nih.gov/pubmed/35621905
http://dx.doi.org/10.3390/jimaging8050141

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