Systems and methods to process electronic images to identify attributes

1. A computer-implemented method of identifying attributes of electronic images and displaying the attributes, the method comprising:

receiving one or more electronic medical images associated with a pathology specimen, the one or more electronic medical images including a first electronic medical image;

determining a plurality of salient regions within the one or more electronic medical images, the plurality of salient regions including a first salient region and a second salient region in the first electronic medical image;

determining a predetermined order of the plurality of salient regions, wherein the second salient region is after the first salient region according to the predetermined order;

determining, that the first salient region is equal to or greater than a predetermined distance from the second salient region; and

automatically panning, using a display, across the first salient region and across the second salient region according to the predetermined order.

2. The method of claim 1 , further comprising:

detecting tissue within the one or more electronic medical images, wherein the plurality of salient regions comprise at least a portion of the detected tissue.

3. The method of claim 2 , wherein detecting the tissue includes removing a background.

4. The method of claim 3 , wherein removing the background includes thresholding a plurality of local regions within the one or more electronic medical images based on a variance of each local region among the plurality of local regions to determine which local regions among the plurality of local regions do not contain tissue.

5. The method of claim 1 , wherein the predetermined order is determined according to a policy.

6. The method of claim 1 , wherein the predetermined order is determined according to at least one of:

a tissue type;

a tissue texture;

a calcification presence or level;

an inflammation presence or level;

a salient region size;

a salient region shape;

a salient region location;

a disease type;

a color;

a stain type;

a tissue texture;

a biomarker type;

a genetic signature;

a protein type; and

one or more blood markers.

7. The method of claim 1 , further comprising:

determining a magnification level of each salient region of the plurality of salient regions, wherein the automatically panning using the display is further according to the determined magnification level of each salient region.

8. The method of claim 7 , wherein determining the magnification level of each salient region is based on a policy.

9. The method of claim 1 , wherein the one or more electronic medical images includes a first electronic medical image and wherein the plurality of salient regions includes a first salient region in the first electronic medical image and a second salient region, the second salient region being after the first salient region according to the predetermined order, and wherein the method further comprises:

determining that the second salient region is in the first electronic medical image; and

automatically panning using the display, based on the determining, including panning across the first salient region to the second salient region in the first electronic medical image.

10. The method of claim 9 , further comprising:

determining that the second salient region is not in the first electronic medical image;

determining that the second salient region is in a second electronic medical image; and

automatically panning using the display, including panning across the first salient region in the first electronic medical image, jumping to the second electronic medical image, and panning across the second salient region.

11. The method of claim 1 , further comprising:

determining that a pause command has been received; and

pausing automatic panning of the display.

12. The method of claim 1 , further comprising:

determining that an annotation has been received; and

automatically panning the display in accordance with the annotation.

13. The method of claim 1 , further comprising:

determining the predetermined order based on a received annotation or policy, the received annotation or policy having been received prior to automatically panning.

14. The method of claim 1 , further comprising:

during automatically panning, receiving at least one of an annotation or a policy; and

modifying the predetermined order based on the received annotation or policy.

15. The method of claim 1 , wherein the one or more electronic medical images are whole slide images obtained using a microscope.

16. A system for identifying attributes of electronic images and displaying the attributes, the system comprising:

at least one memory storing instructions; and

at least one processor configured to execute the instructions to perform operations comprising:

receiving one or more electronic medical images associated with a pathology specimen, the one or more electronic medical images including a first electronic medical image;

determining a plurality of salient regions within the one or more electronic medical images, the plurality of salient regions including a first salient region and a second salient region in the first electronic medical image;

determining a predetermined order of the plurality of salient regions, wherein the second salient region is after the first salient region according to the predetermined order;

determining, that the first salient region is equal to or greater than a predetermined distance from the second salient region; and

automatically panning, using a display, across the first salient region and across the second salient region according to the predetermined order.

17. The system of claim 16 , wherein the operations further comprise:

determining a magnification level of each salient region of the plurality of salient regions, wherein the automatically panning using the display is further according to the determined magnification level of each salient region.

18. The system of claim 16 , wherein, upon receiving an annotation or a policy, the processor is configured to modify the instructions.

19. A non-transitory computer-readable medium storing instructions that, when executed by a processor, perform a method for identifying attributes of electronic images and displaying the attributes, the method comprising:

receiving one or more electronic medical images associated with a pathology specimen, the one or more electronic medical images including a first electronic medical image;

determining a plurality of salient regions within the one or more electronic medical images, the plurality of salient regions including a first salient region and a second salient region in the first electronic medical image;

determining a predetermined order of the plurality of salient regions, wherein the second salient region is after the first salient region according to the predetermined order;

determining, that the first salient region is equal to or greater than a predetermined distance from the second salient region; and

automatically panning, using a display, across the first salient region and across the second salient region according to the predetermined order.