Time efficient real time facial expression recognition with CNN and transfer learning
This study aims to design a real-time application to detect several human beings' universal
emotional levels simultaneously. The intra-class and inter-class variations present in images …
emotional levels simultaneously. The intra-class and inter-class variations present in images …
Predicting early breast cancer recurrence from histopathological images in the Carolina Breast Cancer Study
Approaches for rapidly identifying patients at high risk of early breast cancer recurrence are
needed. Image-based methods for prescreening hematoxylin and eosin (H&E) stained …
needed. Image-based methods for prescreening hematoxylin and eosin (H&E) stained …
Recent landscape of deep learning intervention and consecutive clustering on biomedical diagnosis
Background: Consecutive Clustering is one type of learning method that is built on neural
network. It is frequently used in different domains including biomedical research. It is very …
network. It is frequently used in different domains including biomedical research. It is very …
Prediction of response to chemotherapy of breast cancer tumors based on deep learning
A Bahba, R Khemiri, MA Zayene… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Neoadjuvant chemotherapy (NACT) has been defined as a widely treatment approach
administered before surgery for women with breast cancer to minimize tumor size and …
administered before surgery for women with breast cancer to minimize tumor size and …