Cancer research encompasses data across various scales, modalities, and resolutions, from
screening and diagnostic imaging to digitized histopathology slides to various types of …

Breast cancer is the most prevalent cancer among women, and its diagnosis requires the
accurate identification and classification of histological features for effective patient …

Simple Summary In this study, we trained and evaluated several machine-learning models
with the aim of predicting breast cancer lymph node metastasis in patients eligible for …

Understanding clinical features and risk factors associated with COVID-19 mortality is
needed to early identify critically ill patients, initiate treatments and prevent mortality. A …

Breast cancer has replaced lung cancer as the number one cancer among women
worldwide. In this paper, we take breast cancer as the research object, and pioneer a hybrid …

Breast cancer is the second-leading cause of cancer death in women. Breast cells develop
into malignant, cancerous lumps, the first signs of breast cancer. Breast cancer can be …

Breast cancer remains a formidable global health challenge, exacting a heavy toll on
women's lives and necessitating advanced diagnostic methodologies. This study delves into …

Detection of metastatic breast cancer lesions is a challenging task in breast cancer
treatment. The recent advancements in deep learning gained attention owing to its …

Breast cancer is a highly prevalent cancer. Triple‐negative breast cancer (TNBC) is more
likely to recur and metastasize than other subtypes of breast cancer. Research on the …

Cancer remains a major contributor to mortality rates across the globe, causing nearly 10
million fatalities in 2020. Among all cancer types, breast cancer has the highest incidence …