Cargando…
Classification of Breast Cancer Lesions in Ultrasound Images by Using Attention Layer and Loss Ensemble in Deep Convolutional Neural Networks
The reliable classification of benign and malignant lesions in breast ultrasound images can provide an effective and relatively low-cost method for the early diagnosis of breast cancer. The accuracy of the diagnosis is, however, highly dependent on the quality of the ultrasound systems and the exper...
Autores principales: | Kalafi, Elham Yousef, Jodeiri, Ata, Setarehdan, Seyed Kamaledin, Lin, Ng Wei, Rahmat, Kartini, Taib, Nur Aishah, Ganggayah, Mogana Darshini, Dhillon, Sarinder Kaur |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534785/ https://www.ncbi.nlm.nih.gov/pubmed/34679557 http://dx.doi.org/10.3390/diagnostics11101859 |
Ejemplares similares
-
An Artificial Intelligence-Enabled Pipeline for Medical Domain: Malaysian Breast Cancer Survivorship Cohort as a Case Study
por: Ganggayah, Mogana Darshini, et al.
Publicado: (2021) -
Theory and Practice of Integrating Machine Learning and Conventional Statistics in Medical Data Analysis
por: Dhillon, Sarinder Kaur, et al.
Publicado: (2022) -
Predicting factors for survival of breast cancer patients using machine learning techniques
por: Ganggayah, Mogana Darshini, et al.
Publicado: (2019) -
Automated Generation of Synoptic Reports from Narrative Pathology Reports in University Malaya Medical Centre Using Natural Language Processing
por: Tan, Wee-Ming, et al.
Publicado: (2022) -
The “Know Your Lemons” Tools: A strategy to improve breast cancer warning signs recognition in Malaysia
por: Mei Yen, Mary Chan, et al.
Publicado: (2023)