Novel prognostication of patients with spinal and pelvic chondrosarcoma using deep survival neural networks
Sign Up to like & getrecommendations! Published in 2020 at "BMC Medical Informatics and Decision Making"
DOI: 10.1186/s12911-019-1008-4
Abstract: Background We used the Surveillance, Epidemiology, and End Results (SEER) database to develop and validate deep survival neural network machine learning (ML) algorithms to predict survival following a spino-pelvic chondrosarcoma diagnosis. Methods The SEER 18… read more here.
Keywords: index; validation; pelvic chondrosarcoma; deep survival ... See more keywords
Automatic Tumor Grading on Colorectal Cancer Whole-Slide Images: Semi-Quantitative Gland Formation Percentage and New Indicator Exploration
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2022.833978
Abstract: Tumor grading is an essential factor for cancer staging and survival prognostication. The widely used the WHO grading system defines the histological grade of CRC adenocarcinoma based on the density of glandular formation on whole-slide… read more here.
Keywords: formation; gland formation; formation percentage; deep survival ... See more keywords