Utilizing Deep Learning to Standardize Annotation and Labeling of Large Abdominal CT Multi-Centre Datasets

Autor: Remtulla, Raheem
Jazyk: angličtina
Rok vydání: 2019
Předmět:
DOI: 10.26044/ecr2019/c-3057
Popis: Aims and objectives Methods and materials Results Conclusion Personal information References
Aims and objectives: The development of machine learning and AI systems in healthcare critically relies on large well-labelled datasets with adequate data volume, annotation, truth, and reusability [1]. Unfortunately, it has been cited that the day-to-day radiologist...
Databáze: OpenAIRE