TY  - JOUR 
AU  - Shafique, Rahman
AU  - Rustam, Furqan
AU  - Choi, Gyu Sang
AU  - Torre Díez, Isabel de la
AU  - Mahmood, Arif
AU  - Lipari, Vivian
AU  - Rodríguez Velasco, Carmen Lili
AU  - Ashraf, Imran
PY  - 2023
SN  - 2072-6694
UR  - https://uvadoc.uva.es/handle/10324/63340
AB  - Simple Summary: Breast cancer is prevalent in women and the second leading cause of death. Conventional breast cancer detection methods require several laboratory tests and medical experts. Automated breast cancer detection is thus very important for...
AB  - Breast cancer is one of the most common invasive cancers in women and it continues to be a worldwide medical problem since the number of cases has significantly increased over the past decade. Breast cancer is the second leading cause of death from...
LA  - eng
PB  - MDPI
KW  - Breast - Cancer - Diagnosis
KW  - Cancer research
KW  - Breast - Diseases
KW  - Mamas -  Cáncer
KW  - Cytology
KW  - Mamas - Citología
KW  - Principal components analysis
KW  - Análisis multivariante
KW  - Singular value decomposition
KW  - Machine learning
KW  - Aprendizaje automático
KW  - Artificial intelligence
KW  - Oncology
TI  - Breast cancer prediction using fine needle aspiration features and upsampling with supervised machine learning
DO  - 10.3390/cancers15030681
ER  -