Systems and methods for hair loss management
Comprehensive systems and methods for managing hair loss are provided which enable an individual experiencing hair loss, and/or the person consulting him or her, to manage it and to determine and efficiently plan any appropriate treatment options. Management of hair loss may comprise quantifying hair loss, determining what hair growth stimulation product or treatment to adopt and the best timing for such products and/or treatments, and allowing to track and manage any progress of the selected hair growth stimulation product or treatment.
1. A computer-implemented method for determining when to undergo a hair transplantation, the method comprising:
determining a hair loss value associated with a body surface based on identified regions, the regions comprising one or more potential donor areas and one or more potential recipient areas;
automatically analyzing, using computer image processing, proportions of classes of follicular units within the one or more potential donor areas and the one or more potential recipient areas, wherein automatically analyzing, using computer image processing, proportions of classes of follicular units comprises classifying follicular units based on the number of hairs or hair follicles in a follicular unit; and
automatically, via a processor, determining when a hair transplantation procedure is recommended based, at least in part, on the determined hair loss value and the results of automatically analyzing proportions of classes.
2. The computer-implemented method of claim 1 , further comprising automatically determining, using computer image processing, a proportion of terminal and/or non-terminal hair within the one or more potential donor areas and the one or more potential recipient area, and wherein automatically determining when a hair transplantation procedure is recommended is based, at least in part, on the determined portion of the terminal and/or non-terminal hair within the one or more potential donor areas and the one or more potential recipient area.
3. The computer-implemented method of claim 1 , wherein hairs or hair follicles in a follicular unit that are determined to be non-terminal are not counted in the classification.
4. A system for determining when to undergo a hair transplantation, the system comprising:
at least one non-transitory storage medium storing instructions; and
one or more processors for executing operations on image data, the one or more processors executing instructions for;
automatically analyzing, using computer image processing, proportions of classes of follicular units within the one or more potential donor areas and the one or more potential recipient areas, wherein automatically analyzing, using computer image processing, proportions of classes of follicular units comprises classifying follicular units based on the number of hairs or hair follicles in a follicular unit; and
automatically, via the one or more processors, determining when a hair transplantation procedure is recommended based, at least in part, on the determined hair loss value and the results of automatically analyzing proportions of classes.
5. The system of claim 4 , further comprising automatically determining, using computer image processing, a proportion of terminal and/or non-terminal hair within the one or more potential donor areas and the one or more potential recipient area, and wherein automatically determining when a hair transplantation procedure is recommended is based, at least in part, on the determined portion of the terminal and/or non-terminal hair within the one or more potential donor areas and the one or more potential recipient area.
6. The system of claim 4 , wherein hairs or hair follicles in a follicular unit that are determined to be non-terminal are not counted in the classification.