A review on explainable artificial intelligence for healthcare: why, how, and when?
Artificial intelligence (AI) models are increasingly finding applications in the field of
medicine. Concerns have been raised about the explainability of the decisions that are …
medicine. Concerns have been raised about the explainability of the decisions that are …
Federated learning: Applications, challenges and future directions
Federated learning (FL) refers to a system in which a central aggregator coordinates the
efforts of several clients to solve the issues of machine learning. This setting allows the …
efforts of several clients to solve the issues of machine learning. This setting allows the …
Classification of breast cancer using transfer learning and advanced al-biruni earth radius optimization
Breast cancer is one of the most common cancers in women, with an estimated 287,850 new
cases identified in 2022. There were 43,250 female deaths attributed to this malignancy. The …
cases identified in 2022. There were 43,250 female deaths attributed to this malignancy. The …
Deep learning based capsule neural network model for breast cancer diagnosis using mammogram images
Breast cancer is a commonly occurring disease in women all over the world. Mammogram is
an efficient technique used for screening and identification of abnormalities over the breast …
an efficient technique used for screening and identification of abnormalities over the breast …
Should artificial intelligent agents be your co-author? Arguments in favour, informed by ChatGPT
Academics have long relied on technological tools to support their research, with these tools
growing in sophistication over time. As these tools have advanced, they have allowed …
growing in sophistication over time. As these tools have advanced, they have allowed …
Intelligent hybrid deep learning model for breast cancer detection
Breast cancer (BC) is a type of tumor that develops in the breast cells and is one of the most
common cancers in women. Women are also at risk from BC, the second most life …
common cancers in women. Women are also at risk from BC, the second most life …
Breast Cancer Diagnosis Using Virtualization and Extreme Learning Algorithm Based on Deep Feed Forward Networks
One of the leading causes of death for women worldwide is breast cancer. Early detection
and prompt treatment can reduce the risk of breast cancer-related death. Cloud computing …
and prompt treatment can reduce the risk of breast cancer-related death. Cloud computing …
Automated breast cancer detection models based on transfer learning
M Alruwaili, W Gouda - Sensors, 2022 - mdpi.com
Breast cancer is among the leading causes of mortality for females across the planet. It is
essential for the well-being of women to develop early detection and diagnosis techniques …
essential for the well-being of women to develop early detection and diagnosis techniques …
Breast cancer diagnosis using evolving deep convolutional neural network based on hybrid extreme learning machine technique and improved chimp optimization …
Today, diagnostic systems based on artificial intelligence play a significant role in confirming
doctors' recommendations. These systems are becoming effective tools in clinical treatment …
doctors' recommendations. These systems are becoming effective tools in clinical treatment …
Breast cancer mammograms classification using deep neural network and entropy-controlled whale optimization algorithm
Breast cancer has affected many women worldwide. To perform detection and classification
of breast cancer many computer-aided diagnosis (CAD) systems have been established …
of breast cancer many computer-aided diagnosis (CAD) systems have been established …