FIELD: cytological classification. SUBSTANCE: system has automatic microscope, information output unit, video camera, digital image converter, primary statistic classifier which is designed as bundled-software processing unit which detects objects which are near to malign or malign. In addition device has secondary classifier which is designed as neural computer. EFFECT: increased speed, increased precision of classification. 10 cl, 7 dwg
| Title | Year | Author | Number |
|---|---|---|---|
| DIAGNOSTIC TECHNIQUE FOR MALIGNANT PLEURAL EFFUSION | 2018 |
|
RU2698909C1 |
| SYSTEMS AND METHODS OF SEGMENTING MEDICAL IMAGES BASED ON ANATOMICAL LANDMARK-BASED FEATURES | 2015 |
|
RU2699499C2 |
| METHOD FOR DIFFERENTIAL DIAGNOSTICS OF FOLLICULAR ADENOMA AND FOLLICULAR THYROID CANCER | 2005 |
|
RU2293524C2 |
| METHOD FOR SCANNING BIOLOGICAL SUBSTANCES WITH THREE TYPES OF LOCALIZATION | 2023 |
|
RU2804992C1 |
| METHOD FOR IDENTIFYING AND CALCULATING CELLS IN HUMAN AND ANIMAL BIOLOGICAL MEDIA AND DEVICE FOR ITS IMPLEMENTATION | 2004 |
|
RU2303812C2 |
| METHOD OF DIAGNOSING ONCOLOGICAL DISEASES OF THE BLOOD | 2022 |
|
RU2803281C1 |
| A DEEP LEARNING FRAME FOR IDENTIFYING SEQUENCE PATTERNS THAT CAUSE SEQUENCE SPECIFIC ERRORS (SSE) | 2019 |
|
RU2745733C1 |
| METHOD FOR DIGITIZING A BIOLOGICAL PREPARATION OF BONE MARROW USING NEURAL NETWORKS | 2022 |
|
RU2793054C1 |
| METHOD FOR DIGITISING A BONE MARROW PUNCTATE SMEAR | 2019 |
|
RU2755247C1 |
| METHODS FOR TRAINING DEEP CONVOLUTIONAL NEURAL NETWORKS BASED ON DEEP LEARNING | 2018 |
|
RU2767337C2 |
