Precision oncology relies on the identification of targetable molecular alterations in tumor
tissues. In many tumor types, a limited set of molecular tests is currently part of standard …

Computational pathology refers to applying deep learning techniques and algorithms to
analyse and interpret histopathology images. Advances in artificial intelligence (AI) have led …

Breast cancer is a major research area in the medical image analysis field; it is a dangerous
disease and a major cause of death among women. Early and accurate diagnosis of breast …

Cancer prognostication is a challenging task in computational pathology that requires
context-aware representations of histology features to adequately infer patient survival …

Tumor-infiltrating lymphocytes, specialized immune cells, are considered an important
biomarker in cancer analysis. Automated lymphocyte detection is challenging due to its …

Simple Summary The immune response has been shown to be a promising indicator to
predict the clinical behavior of many cancers, including head and neck cancer. Tumor …

Background and objectives The detection of tumor-infiltrating lymphocytes (TILs) could aid in
the development of objective measures of the infiltration grade and can support decision …

Medical image analysis places a significant focus on breast cancer, which poses a
significant threat to women's health and contributes to many fatalities. An early and precise …

Introduction Head and neck squamous cell carcinomas (HNSCCs) have an increasing
incidence, high recurrence, and an overall unfavorable prognosis despite numerous …

Head and neck tumor differential diagnosis and prognosis have always been a challenge for
oral pathologists due to their similarities and complexity. Artificial intelligence novel …