System and methods for color gamut normalization for pathology slides
A system for color gamut normalization for pathology slide is disclosed. The system includes at least a computing device, wherein the computing device is configured to generate a plurality of segmentations of a whole slide image, wherein the whole slide image includes a plurality of biological tissue type variabilities. The computing device is configured to apply a segment-specific transformation to an individual segment in a first region. The computing device is configured to apply the segment-specific transformation to an individual segment in a second region. The computing device is configured to retrieve a plurality of discrete magnification levels from a user. The computing device is configured to choose as a first magnification level from the plurality of discrete magnification levels, and the computing device is configured to store the plurality of segmentations in a cache.
1. A system for color gamut normalization for pathology slides, the system comprising at least a processor and a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to:
receive a magnification level;
generate a plurality of segmentations of a whole slide image as a function of one or more variabilities and the magnification level, wherein generating further comprises:
segmenting the whole slide image into a plurality of segments as a function of the one or more variabilities, wherein the one or more variabilities comprises a biological tissue type variability;
determine a plurality of segment-specific transformations as a function of the plurality of segments; and
apply the plurality of segment-specific transformations to each segment of the plurality of segments.
2. The system of claim 1 , wherein the biological tissue type variabilities comprises tissue thickness.
3. The system of claim 1 , wherein the plurality of segment-specific transformations further comprises a transformation selected from a group comprising contrast, brightness, gamma, saturation, and red, green, and blue (RGB) values.
4. The system of claim 1 , wherein receiving the magnification level comprises:
receiving a plurality of discrete magnification levels from a user- and choosing the magnification level from the plurality of discrete magnification levels.
5. The system of claim 1 , wherein the plurality of segment-specific transformations is applied in real time.
6. The system of claim 1 , wherein generating the plurality of segmentations comprises segmenting the whole slide image using a computer vision model.
7. The system of claim 1 , wherein the memory contains instructions further configuring the at least a processor to apply the plurality of segment-specific transformations to an individual segment in a first region and a second region of the whole slide image, wherein the second region is different from the first region.
8. The system of claim 7 , wherein the memory contains instructions further configuring the at least a processor to:
receive feature data from a user as an input;
apply a first segment-specific transformation of the plurality of segment-specific transformations to the first region of the whole slide image to manifest details of the individual segment in the first region; and
apply a second segment-specific transformation of the plurality of segment-specific transformations to the second region of the whole slide image to manifest details of the individual segment in the second region.
9. The system of claim 1 , wherein the memory contains instructions further configuring the at least a processor to:
store a segment bounding path of the plurality of segmentations; and
store the plurality of segment-specific transformations as metadata.
10. The system of claim 1 , wherein the memory contains instructions further configuring the at least a processor to store the plurality of segmentations and the corresponding plurality of segment-specific transformations in a cache.
11. A method for color gamut normalization for pathology slides, the method comprising:
receiving, using at least a processor, a magnification level;
generating, using the at least a processor, a plurality of segmentations of a whole slide image as a function of one or more variabilities and the magnification level, wherein generating further comprises:
segmenting the whole slide image into a plurality of segments as a function of the one or more variabilities, wherein the one or more variabilities comprises a biological tissue type variability;
determining, using the at least a processor, a plurality of segment-specific transformations as a function of the plurality of segments;
applying, using the at least a processor, the plurality of segment-specific transformations to each segment of the plurality of segments.
12. The method of claim 11 , wherein the biological tissue type variabilities comprises tissue thickness.
13. The method of claim 11 , wherein the plurality of segment-specific transformations further comprises a transformation selected from a group comprising contrast, brightness, gamma, saturation, and red, green, and blue (RGB) values.
14. The method of claim 11 , further comprising:
receiving, using the at least a processor, a plurality of discrete magnification levels from a users; and
choosing, using the at least a processor, the magnification level from the plurality of discrete magnification levels.
15. The method of claim 11 , further comprising:
applying, using the at least a processor, the plurality of segment-specific transformations in real time.
16. The method of claim 11 , further comprising:
segmenting, using the at least a processor, the whole slide image, using a computer vision model.
17. The method of claim 11 , further comprising:
applying, using the at least a processor, the plurality of segment-specific transformations to an individual segment in a first region and a second region, wherein the second region is different from the first region.
18. The method of claim 17 , further comprising:
receiving, using the at least a processor, feature data from a user as an input;
applying, using the at least a processor, a first segment-specific transformation of the plurality of segment-specific transformations to the first region of the whole slide image to manifest details of the individual segment in the first region; and
applying, using the at least a processor, a second segment-specific transformation of the plurality of segment-specific transformations to the second region of the whole slide image to manifest details of the individual segment in the second region.
19. The method of claim 11 , further comprising:
storing, using the at least a processor, a segment bounding path of the plurality of segmentations; and
storing, using the at least a processor, the plurality of segment-specific transformations as metadata.
20. The method of claim 11 , further comprising:
storing, using the at least a processor, the plurality of segmentations and the corresponding plurality of segment-specific transformations in a cache.