Newly Developed Machine Learning Model Enhances Accuracy in Breast Cancer Diagnosis

Newly Developed Machine Learning Model Enhances Accuracy in Breast Cancer Diagnosis

Summary: Researchers at RUDN University, in collaboration with scientists from China and Saudi Arabia, have successfully developed a machine learning model that significantly improves the accuracy of breast cancer diagnosis through histological images. By incorporating additional attention modules into convolutional neural networks, the model achieved an accuracy rate of nearly 100%.… Read the rest

Deep Learning for Breast Cancer Diagnosis: A Multimodal Approach

Deep Learning for Breast Cancer Diagnosis: A Multimodal Approach

Breast cancer is a growing concern worldwide and has become the second leading cause of death after cardiovascular diseases. Researchers have been focusing on developing methods for early disease detection, with deep learning techniques showing promising results. However, most of these approaches have primarily focused on using breast cancer imaging, limiting the diagnosis process.… Read the rest

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