Systems and methods for training and application of machine learning algorithms for microscope images

A computer-implemented method for training of a machine-learning algorithm, the method comprising:

• receiving training data, the training data comprising images showing a tissue;
• adjusting the machine-learning algorithm to obtain a trained machine-learning algorithm based on the training data, such that the trained machine-learning algorithm generates instruction data for at least a part of the tissue shown in the images, wherein the instruction data is indicative of an action to be performed on the tissue during a surgery, and wherein the instruction data comprises a resection boundary indicative of an area of the tissue in which the action is to be performed on the tissue;
• and
• providing the trained machine-learning algorithm.

A trained machine-learning algorithm, trained by:

• receiving training data, the training data comprising:
• images showing tissue;
• and
• adjusting the machine learning algorithm based on the training data, such that the machine-learning algorithm generates instruction data for at least part of the tissue shown in the images, wherein the instruction data is indicative of an action to be performed on the tissue during a surgery, and wherein the instruction data comprises a resection boundary indicative of an area of the tissue in which the action is to be performed on the tissue.

A system for providing instruction data for a tissue shown in a microscope image, the system comprising:

• one or more processors, and one or more storage devices, wherein the system is configured to:
• receive input data, the input data comprising:
• a microscope image from a surgical microscope obtained during a surgery, the microscope image showing a tissue of a patient,
• generate instruction data for at least a part of the tissue shown in the microscope image, by applying a machine-learning algorithm, wherein the instruction data is indicative of an action to be performed on the tissue during a surgery, and wherein the instruction data comprises a resection boundary indicative of an area of the tissue in which the action is to be performed on the tissue;
• and
• provide output data, the output data comprising the instruction data for the microscope image.

A computer-implemented method comprising:

• receiving input data, the input data comprising a microscope image from a surgical microscope obtained during a surgery, the microscope image showing a tissue of a patient,
• generating instruction data for at least part of the tissue shown in the microscope image, by applying a machine-learning algorithm, wherein the instruction data is indicative of an action to be performed on the tissue during a surgery, and wherein the instruction data comprises a resection boundary indicative of an area of the tissue in which the action is to be performed on the tissue;
• and
• providing output data, the output data comprising:
• the instruction data for the microscope image.