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 …
J Yao, X Zhu, J Jonnagaddala, N Hawkins… - Medical Image Analysis, 2020 - Elsevier
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 …
C Pucci, C Martinelli, G Ciofani - ecancermedicalscience, 2019 - ncbi.nlm.nih.gov
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 …
L Feng, Z Liu, C Li, Z Li, X Lou, L Shao… - The Lancet Digital …, 2022 - thelancet.com
Background Accurate prediction of tumour response to neoadjuvant chemoradiotherapy enables personalised perioperative therapy for locally advanced rectal cancer. We aimed to …
Artificial intelligence (AI) is gradually changing medical practice. With recent progress in digitized data acquisition, machine learning and computing infrastructure, AI applications …
Malignant mesothelioma (MM) is an aggressive cancer primarily diagnosed on the basis of histological criteria. The 2015 World Health Organization classification subdivides …