FIELD: medicine; clinical microbiology.
SUBSTANCE: group of inventions can be used for automated detection and classification of colonies of pathogenic and opportunistic microorganisms using images of Petri dishes. The technical result is the creation of a system and method that have increased speed and accuracy, low dependence on expert markup and scalability according to data, interpretability of results, scalability according to species specificities of microorganisms.
EFFECT: system contains a segmentation model building module, a segmentation model training module, a classification model building module, a classification model training module, an image segmentation module, and a classification module.
10 cl, 9 dwg, 5 tbl
| Title | Year | Author | Number |
|---|---|---|---|
| SOFTWARE AND HARDWARE COMPLEX DESIGNED FOR PROCESSING AEROSPACE IMAGE OF TERRAIN FOR PURPOSE OF DETECTION, LOCALIZATION AND CLASSIFICATION BY TYPE OF AVIATION AND LAND EQUIPMENT | 2021 |
|
RU2811357C2 |
| HARDWARE-SOFTWARE COMPLEX DESIGNED FOR TRAINING AND (OR) RE-TRAINING OF PROCESSING ALGORITHMS FOR AERIAL PHOTOGRAPHS OF THE TERRITORY FOR DETECTION, LOCALIZATION AND CLASSIFICATION UP TO TYPE OF AVIATION AND GROUND EQUIPMENT | 2020 |
|
RU2747044C1 |
| EXTRACTION OF MULTIPLE DOCUMENTS FROM A SINGLE IMAGE | 2020 |
|
RU2764705C1 |
| METHODS AND SYSTEMS OF DOCUMENT SEGMENTATION | 2018 |
|
RU2697649C1 |
| METHOD FOR AUTOMATED REMOTE DIAGNOSIS OF SKIN NEW GROWTHS | 2022 |
|
RU2817636C1 |
| AUTOMATED SYSTEM FOR IDENTIFICATION AND PREDICTION OF COMPLICATIONS IN THE PROCESS OF CONSTRUCTION OF OIL AND GAS WELLS | 2020 |
|
RU2745137C1 |
| METHOD OF PROCESSING IMAGES OF REMOTE EARTH PROBING USING A NEURAL NETWORK WITH A FINE FOR ACCURACY OF THE SEGMENTATION BOUNDARY | 2019 |
|
RU2740736C1 |
| AUTOMATED SYSTEM FOR IDENTIFICATION AND PREDICTION OF COMPLICATIONS IN THE PROCESS OF CONSTRUCTION OF OIL AND GAS WELLS | 2020 |
|
RU2745136C1 |
| ARTIFICIAL NEURAL NETWORKS COMPRESSION SYSTEM BASED ON ITERATIVE APPLICATION OF TENSOR APPROXIMATIONS | 2019 |
|
RU2734579C1 |
| METHOD FOR PROVIDING COMPUTER VISION | 2022 |
|
RU2791587C1 |
