Method and system for parallel processing for medical image

A method for processing a medical image, the method being performed by a plurality of processors and comprising:

• performing, by a first processor, a first operation of providing a second processor with a first patch included in at least one medical image;
• performing, by the first processor, a second operation of providing a second processor with a second patch included in the at least one medical image;
• and
• performing, by the second processor, a third operation of outputting a first analysis result from the first patch using a machine learning model,
• wherein at least a part of a time frame for the second operation performed by the first processor overlaps with at least a part of a time frame for the third operation performed by the second processor.

An information processing system, comprising:

• a memory;
• and
• a first processor and a second processor connected to the memory and configured to execute at least one computer-readable program included in the memory, wherein the at least one computer-readable program includes instructions for:
• performing, by the first processor, a first operation of generating a first batch from at least one first patch extracted from a medical image and providing the generated first batch to the second processor;
• performing, by the first processor, a second operation of generating a second batch from at least one second patch extracted from the medical image and providing the generated second batch to the second processor;
• and
• performing, by the second processor, a third operation of outputting a first analysis result from the first batch by using a machine learning model, wherein
• at least a part of a time frame for the second operation performed by the first processor overlaps with at least a part of a time frame for the third operation performed by the second processor.