Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets

Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets

The advancements in data acquisition, storage, and processing techniques have resulted in the rapid growth of heterogeneous medical data. Integrating radiological scans, histopathology images, and molecular information with clinical data is essential for developing a holistic understanding of the di...

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Bibliographic Details
Main Authors: Aakash Tripathi, Asim Waqas, Kavya Venkatesan, Yasin Yilmaz, Ghulam Rasool
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Sensors
Subjects:
cancer
oncology
multimodal
cloud computing
data lake
data warehouse
Online Access:https://www.mdpi.com/1424-8220/24/5/1634

Internet

https://www.mdpi.com/1424-8220/24/5/1634

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