公开(公告)号：US20190207770A1

公开(公告)日：2019-07-04

申请号：US15857154

申请日：2017-12-28

Applicant: Industrial Technology Research Institute

Inventor： Jiazheng ZHOU ,  Shih-Fang CHANG ,  Ya-Wen LEE ,  Shih-Chang CHEN

IPC: H04L9/32 ,  H04L9/06 ,  G06F21/62

CPC classification number: H04L9/3247 ,  G06F21/6209 ,  G06Q50/18 ,  H04L9/0637

Abstract: Methods for access control of contract data in a distributed system are provided. The distributed system includes a contract generator, a validation server, a database and a distributed ledger which are in communication via a network, the method including the steps of: at the contract generator, receiving digital contract data from a first electronic device, determining a permission setting for accessing contract content associated with the digital contract data based on the digital contract data, and setting the permission setting to the validation server via the network, obtaining a validation link corresponding to the digital contract data from the validation server, generating contract information for digital contract data according to partial content of the digital contract data and the validation link, and storing the contract information in the distributed ledger.

公开(公告)号：US20220189009A1

公开(公告)日：2022-06-16

申请号：US17123967

申请日：2020-12-16

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Ting-Yuan WANG ,  Ming-Shan DENG ,  Ya-Wen LEE ,  Jung-Tzu LIU

IPC: G06T7/00 ,  G06K9/62 ,  G06T3/40 ,  G06T7/73 ,  G06K9/20 ,  G06T7/60 ,  A61B5/00 ,  A61B3/12 ,  G06N20/00 ,  G16H30/40

Abstract: A medical image analysis method includes: reading an original medical image; performing image classification and object detection on the original medical image to generate a first classification result and a plurality of object detection results by a plurality of complementary artificial intelligence (AI) models; performing object feature integration and transformation on a first detection result and a second detection result among the object detection results to generate a transformation result by a features integration and transformation module; and performing machine learning on the first classification result and the transformation result to generate an image interpretation result by a machine learning module and display the image interpretation result.