Deep learning analysis of radiological images has the potential to improve diagnostic
accuracy of breast cancer, ultimately leading to better patient outcomes. This paper …

The world has seen an increase in the number of wildland fires in recent years due to
various factors. Experts warn that the number of wildland fires will continue to increase in the …

Breast cancer poses a significant risk to women's health, and it is essential to provide proper
diagnostic support. Medical image processing technology is a key component of all …

After cardiovascular diseases, cancer is responsible for the most deaths worldwide.
Detecting a cancer disease early improves the chances for healing significantly. One group …

Simple Summary Breast cancer (BC) screening is significantly important for reducing
disease mortality. Mammography (MAM) is the gold standard for BC screening in high …

With advancements in modern medical technology, an increasing amount of cancer-related
information can be acquired through various means, such as genomics, proteomics …

Background Generalizability of predictive models for pathological complete response (pCR)
and overall survival (OS) in breast cancer patients requires diverse datasets. This study …

Breast cancer is a major public health concern, and early detection and classification are
essential for improving patient outcomes. However, breast tumors can be difficult to …

Breast cancer is a disease of abnormal cell proliferation in the breast tissue organs. One
method for diagnosing and screening breast cancer is mammography. However, the results …

Objectives This study aimed to develop a deep learning radiomic model using multimodal
imaging to differentiate benign and malignant breast tumours. Methods Multimodality …