Assessment of deep learning algorithms to predict histopathological diagnosis of breast cancer: first Moroccan prospective study on a private dataset

Assessment of deep learning algorithms to predict histopathological diagnosis of breast cancer: first Moroccan prospective study on a private dataset

Abstract Objective Breast cancer is a critical public health issue and a leading cause of cancer-related deaths among women worldwide. Its early diagnosis and detection can effectively help in increasing the chances of survival rate. For this reason, the diagnosis and classification of breast cancer...

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Bibliographic Details
Main Authors: H. El Agouri, M. Azizi, H. El Attar, M. El Khannoussi, A. Ibrahimi, R. Kabbaj, H. Kadiri, S. BekarSabein, S. EchCharif, C. Mounjid, B. El Khannoussi
Format: Article
Language:English
Published: BMC 2022-02-01
Series:BMC Research Notes
Subjects:
Breast cancer
Digital pathology
Artificial intelligence
Deep learning
Machine learning
Convolutional Neural Networks
Online Access:https://doi.org/10.1186/s13104-022-05936-1

Internet

https://doi.org/10.1186/s13104-022-05936-1

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