ascopubs.org

A transfer learning-based graph neural network model using mIF images to predict neoadjuvant immunochemotherapy response in patients with gastrointestinal cancer.

Natural language processing for automated breast cancer recurrence detection and classification in computed tomography reports. This is an ASCO Meeting Abstract from the 2024 ASCO Annual Meeting I.
EurekAlert!

Graph filtration learning reveals new dimensions in hepatocellular carcinoma imaging

Oncotarget (a primarily oncology-focused, peer-reviewed, open access journal) aims to maximize research impact through insightful peer-review; eliminate borders between specialties by linking ...
ascopubs.org

Clarifying Causal Effects of Interest and Underlying Assumptions in Randomized and Nonrandomized Clinical Trials in Oncology Using Directed Acyclic Graphs and Single-World ...

The aim of this research therefore was to streamline the understanding of typical causal structures in both randomized and nonrandomized clinical trials in oncology, presenting concise guidelines for ...
EurekAlert!

Graphs of best joinpoint fits of Surveillance, Epidemiology, and End Results (SEER) 22 data for delay-adjusted and age-adjusted annual incidence rates of distant-stage breast ...

Graphs of best joinpoint fits of Surveillance, Epidemiology, and End Results (SEER) 22 data for delay-adjusted and age-adjusted annual incidence rates of distant-stage breast cancer (per 100 000 women ...