Ethereum, IPFS and neural compression to decentralize and protect patient data in computational pathology

12 September 2022, Version 1
This content is an early or alternative research output and has not been peer-reviewed by Cambridge University Press at the time of posting.

Abstract

The field of digital pathology produces a large number of images associated with patient metadata that are the raw material of computational pathology. The process of making images available with adequate privacy and data protection considerations takes a long time. Given that the Ethereum network associated with InterPlanetary File System (IPFS) promotes the exchange of information in a secure, private and decentralized manner, this association could be an important partner between digital and computational pathology. Therefore, here we propose and discuss a prototype with the aforementioned parts and the addition of neural compression, as an essential information preservation step. This prototype could constitute a link for the exchange of information in a secure way, providing transparency and reliability to the chain and empowering the field of manufacturing artificial vision solutions for the medical field

Keywords

digital pathology
Ethereum
blockchain
IFPS
neural compression
computational pathology

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