A quantization assisted U-Net study with ICA and deep features fusion for breast cancer identification using ultrasonic data

Breast cancer is one of the leading causes of death in women worldwide—the rapid increase in breast cancer has brought about more accessible diagnosis resources. The ultrasonic breast cancer modality for diagnosis is relatively cost-effective and valuable. Lesion isolation in ultrasonic images is a...

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Detalles Bibliográficos
Autores principales: Meraj, Talha, Alosaimi, Wael, Alouffi, Bader, Rauf, Hafiz Tayyab, Kumar, Swarn Avinash, Damaševičius, Robertas, Alyami, Hashem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8725669/
https://www.ncbi.nlm.nih.gov/pubmed/35036531
http://dx.doi.org/10.7717/peerj-cs.805

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8725669/
https://www.ncbi.nlm.nih.gov/pubmed/35036531
http://dx.doi.org/10.7717/peerj-cs.805

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