METHOD AND SYSTEM FOR PROVIDING CUSTOMIZED DIAGNOSIS SYSTEM

Abstract

Disclosed are a method and a system for providing a customized diagnosis system. A method for providing a diagnosis system, which is to achieve the technical task, comprises the steps wherein: a reference diagnosis system transmits, to a first diagnostic subject system, M (M is an integer of 2 or larger) pieces of unannotated learning data for customization; the reference diagnosis system receives the M pieces of learning data for customization, which are annotated by a first diagnostic subject side, from the first diagnostic subject system; and the received annotated M pieces of learning data for customization are reflected in the reference diagnosis system, wherein the M pieces of learning data for customization, which have been annotated by the first diagnostic subject side, are reflected in a neural network for the reference diagnosis system under a condition that a predetermined price is to be paid.

Description

Claims

1. A method for providing a customized diagnosis system, the method comprising: transmitting, by a reference diagnosis system, M (M is an integer of 2 or more) pieces of unannotated training data for customization to a first diagnoser system;receiving, by the reference diagnosis system, the M pieces of training data for customization annotated by a first diagnoser side from the first diagnoser system; andreflecting the received M pieces of annotated training data for customization in the reference diagnosis system,wherein the M pieces of training data for customization annotated by the first diagnoser side are reflected in a neural network for the reference diagnosis system under a condition that a predetermined price is paid.

2. The method of claim 1, comprising: receiving diagnosis data from the first diagnoser system, generating a diagnosis result, and transmitting the diagnosis result to the first diagnoser system, by the reference diagnosis system in which the M pieces of annotated training data for customization are reflected.

3. The method of claim 1, wherein the reference diagnosis system sets the price to be larger as the M is larger or according to a ratio of the M to the number of training data learned by the reference diagnosis system.

4. The method of claim 1, wherein the reference diagnosis system is a system that comprises an individual diagnosis system set comprising a plurality of individual diagnosis systems and performs diagnosis through consensus based on individual diagnosis results output by the plurality of individual diagnosis systems.

5. The method of claim 4, wherein the reflecting of the received M pieces of annotated training data for customization in the reference diagnosis system comprises retraining at least some of the plurality of individual diagnosis systems using the M pieces of annotated training data for customization.

6. The method of claim 4, wherein the M pieces of training data for customization comprises data in which at least two of the individual diagnosis systems included in the individual diagnosis system set output different diagnosis results.

7. A method for providing a customized diagnosis system, comprising: transmitting, by a reference diagnosis system, M (M is an integer of 2 or more) pieces of unannotated training data for customization to a first diagnoser system, the reference diagnosis system comprising an individual diagnosis system set comprising a plurality of individual diagnosis systems;receiving, by the reference diagnosis system, the M pieces of training data for customization annotated by a first diagnoser side from the first diagnoser system;reflecting the received M pieces of annotated training data for customization in any one first individual diagnosis system included in the reference diagnosis system set;receiving a diagnosis request comprising diagnosis data to be diagnosed by the reference diagnosis system from a predetermined diagnosis request system; anddetermining, according to the received diagnosis request, a type of diagnosis result corresponding to the diagnosis request as a first individual diagnosis result of the first individual diagnosis system, and transmitting a diagnosis result comprising the first individual diagnosis result output by the first individual diagnosis system receiving input data to the diagnosis request system.

8. A computer program stored in a non-transitory computer readable recording medium installed in a data processing device and for performing the method of claim 1.

9. A data processing system, comprising: a processor; anda storage device in which a program is stored,wherein the method of claim 1 is performed by the program executed by the processor.

10. A customized diagnosis system, comprising: a processor;a storage device in which a program executed by the processor is stored,wherein the storage device comprises at least one neural network, andthe program is configured to: transmit M (M is an integer of 2 or more) pieces of unannotated training data for customization to a first diagnoser system, receive the M pieces of training data for customization annotated by a first diagnoser side from the first diagnoser system, and reflect the received M pieces of annotated training data for customization in a reference diagnosis system, andwherein the M pieces of training data for customization annotated by the first diagnoser side are reflected in the neural network under a condition that a predetermined price is paid.

11. A customized diagnosis system, comprising: a processor; anda storage device in which a program executed by the processor is stored,wherein the storage device comprises a neural network corresponding to a plurality of individual diagnosis systems, andwherein the program is configured to: transmit M (M is an integer of 2 or more) pieces of unannotated training data for customization to a first diagnoser system, and when receiving the M pieces of training data for customization annotated by a first diagnoser side from the first diagnoser system, reflect the received M pieces of annotated training data for customization to a first neural network corresponding to a first individual diagnosis system among the plurality of individual diagnosis systems, andwhen receiving a diagnosis request comprising diagnosis data to be diagnosed from a predetermined diagnosis request system, determine, according to the received diagnosis request, a type of diagnosis result corresponding to the diagnosis request as a first individual diagnosis result of a first individual diagnosis system, and transmit a diagnosis result comprising the first individual diagnosis result output by the first individual diagnosis system receiving input data to the diagnosis request system.