Lung cancer is one of the malignant tumors with the highest incidence and mortality in the
world. The overall five-year survival rate of lung cancer is relatively lower than many leading …

Radiomic analysis offers a powerful tool for the extraction of clinically relevant information
from radiologic imaging. Radiomics can be used to predict patient outcome through …

Histopathology image evaluation is indispensable for cancer diagnoses and subtype
classification. Standard artificial intelligence methods for histopathology image analyses …

Traditional image-based survival prediction models rely on discriminative patch labeling
which make those methods not scalable to extend to large datasets. Recent studies have …

In the past decade, advances in precision oncology have resulted in an increased demand
for predictive assays that enable the selection and stratification of patients for treatment. The …

Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …

Every year, cancer is responsible for millions of deaths worldwide and, even though much
progress has been achieved in medicine, there are still many issues that must be addressed …

Cancer is an aggressive disease with a low median survival rate. Ironically, the treatment
process is long and very costly due to its high recurrence and mortality rates. Accurate early …

Histopathologic assessment is indispensable for diagnosing colorectal cancer (CRC).
However, manual evaluation of the diseased tissues under the microscope cannot reliably …

Background Accurate prediction of tumour response to neoadjuvant chemoradiotherapy
enables personalised perioperative therapy for locally advanced rectal cancer. We aimed to …