This research addresses the challenges in the early identification of lung cancer by proposing an automated system using various Machine Learning (ML) and image processing techniques. This study has ...

One of the main factors contributing to cancer-related deaths globally is lung cancer. Physicians may be better able to decide on a patient's course of therapy if lung cancer can be accurately ...

The researchers trained a machine-learning algorithm to predict brain metastasis using 118 lung biopsy samples from early-stage non-small cell lung cancer patients. Some of the patients developed ...

Scientists trained a machine-learning algorithm to predict accurately brain metastasis using biopsy samples from early-stage non-small cell lung cancer patients. It was also highly accurate in ...

P1196 Introduction: Although the use of hand-crafted radiomics features (RF) has shown significant promise to improve diagnostic, prognostic, and treatment response assessments, employing deep ...

Novel machine learning algorithm to predict response to immunotherapy in patients with small cell and non-small cell lung cancer. Sunyoung Choi , Vaishnavi Balaji , Adwait Joshi , Iosif Mporas , Jiaqi ...

More information: Wookjin Choi et al, Novel Functional Radiomics for Prediction of Cardiac Positron Emission Tomography Avidity in Lung Cancer Radiotherapy, JCO Clinical Cancer Informatics (2024 ...