Разработка и создание системы машинной идентификации гемопаразитов у животных

• Analyzes microphotographs of a blood smear according to several indicators, which increases the accuracy of the forecast <br>
• The architecture of the neural network will allow the recognition of blood cells infected with hematoparasites with an accuracy of at least 97%. <br>
• Reduces the cost of one analysis through the use of a cloud service <br>
• Reduces the cost of equipment, allowing you to use a smartphone with a prefix to the microscope.<br>

Status: Graduates