WO1989009969A1 - Neural network based automated cytological specimen classification system and method - Google Patents
Neural network based automated cytological specimen classification system and method Download PDFInfo
- Publication number
- WO1989009969A1 WO1989009969A1 PCT/US1989/001221 US8901221W WO8909969A1 WO 1989009969 A1 WO1989009969 A1 WO 1989009969A1 US 8901221 W US8901221 W US 8901221W WO 8909969 A1 WO8909969 A1 WO 8909969A1
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- classifier
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Electro-optical investigation, e.g. flow cytometers
- G01N15/1468—Electro-optical investigation, e.g. flow cytometers with spatial resolution of the texture or inner structure of the particle
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
- G06V20/693—Acquisition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
- G06V20/698—Matching; Classification
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- G01N15/1433—
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Electro-optical investigation, e.g. flow cytometers
- G01N2015/1488—Methods for deciding
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S128/00—Surgery
- Y10S128/92—Computer assisted medical diagnostics
- Y10S128/925—Neural network
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S706/00—Data processing: artificial intelligence
- Y10S706/902—Application using ai with detail of the ai system
- Y10S706/924—Medical
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- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Public Health (AREA)
- Molecular Biology (AREA)
- Medical Informatics (AREA)
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- Epidemiology (AREA)
- Primary Health Care (AREA)
- Chemical & Material Sciences (AREA)
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- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
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- Evolutionary Computation (AREA)
- Computing Systems (AREA)
- Artificial Intelligence (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Databases & Information Systems (AREA)
- Immunology (AREA)
- Biochemistry (AREA)
- Analytical Chemistry (AREA)
- Dispersion Chemistry (AREA)
- Computational Linguistics (AREA)
- Radiology & Medical Imaging (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
- Automatic Analysis And Handling Materials Therefor (AREA)
- Maintenance And Management Of Digital Transmission (AREA)
- Analysing Materials By The Use Of Radiation (AREA)
- Combined Means For Separation Of Solids (AREA)
- Prostheses (AREA)
Abstract
Description
Claims
Priority Applications (9)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP89302889A EP0336608B1 (en) | 1988-04-08 | 1989-03-22 | Neural network based automated cytological specimen classification system and method |
RO146063A RO106931B1 (en) | 1988-04-08 | 1989-03-24 | Automatic system and method, on the basis of neuronic net for the citological specimens classification |
BR898907355A BR8907355A (en) | 1988-04-08 | 1989-03-24 | METHOD AND SYSTEM OF AUTOMATED CLASSIFICATION OF CYTOLOGICAL SAMPLES BASED ON NEURAL NETWORK |
SU894831388A RU2096827C1 (en) | 1988-04-08 | 1989-03-24 | Computer system and method for classification of cytological samples using neural networks |
BG92969A BG51463A3 (en) | 1988-04-08 | 1990-10-05 | Neuron net-based method and automatic system for classification of cytologic tests |
FI904922A FI101653B1 (en) | 1988-04-08 | 1990-10-05 | Automated cell sample classifier |
NO90904341A NO904341L (en) | 1988-04-08 | 1990-10-05 | SYSTEM AND PROCEDURE FOR AUTOMATED NERVENET WORK-BASED CLASSIFICATION OF CYTOLOGICAL TESTS. |
DK262490A DK262490D0 (en) | 1988-04-08 | 1990-11-01 | SYSTEM FOR AUTOMATED CLASSIFICATION OF CYTOLOGICAL TESTS |
GR960402602T GR3021252T3 (en) | 1988-04-08 | 1996-10-03 | Neural network based automated cytological specimen classification system and method |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US07179060 US4965725B1 (en) | 1988-04-08 | 1988-04-08 | Neural network based automated cytological specimen classification system and method |
US179,060 | 1994-01-07 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO1989009969A1 true WO1989009969A1 (en) | 1989-10-19 |
Family
ID=22655067
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/US1989/001221 WO1989009969A1 (en) | 1988-04-08 | 1989-03-24 | Neural network based automated cytological specimen classification system and method |
Country Status (23)
Country | Link |
---|---|
US (2) | US4965725B1 (en) |
EP (1) | EP0336608B1 (en) |
JP (1) | JPH04501325A (en) |
CN (1) | CN1031811C (en) |
AT (1) | ATE140327T1 (en) |
AU (1) | AU628342B2 (en) |
BG (1) | BG51463A3 (en) |
BR (1) | BR8907355A (en) |
CA (1) | CA1323700C (en) |
DE (1) | DE68926796T2 (en) |
DK (1) | DK262490D0 (en) |
ES (1) | ES2090033T3 (en) |
FI (1) | FI101653B1 (en) |
GR (1) | GR3021252T3 (en) |
HK (1) | HK1003583A1 (en) |
HU (1) | HU208186B (en) |
IL (1) | IL89859A0 (en) |
MC (1) | MC2101A1 (en) |
RO (1) | RO106931B1 (en) |
RU (1) | RU2096827C1 (en) |
SG (1) | SG46454A1 (en) |
WO (1) | WO1989009969A1 (en) |
ZA (1) | ZA892558B (en) |
Cited By (5)
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US5287272A (en) * | 1988-04-08 | 1994-02-15 | Neuromedical Systems, Inc. | Automated cytological specimen classification system and method |
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EP0621477A2 (en) * | 1993-03-23 | 1994-10-26 | Konan Inc. | Method for obtaining a quantitative representation of the cell morphology of a biological tissue |
US5740270A (en) * | 1988-04-08 | 1998-04-14 | Neuromedical Systems, Inc. | Automated cytological specimen classification system and method |
CN105259095A (en) * | 2015-10-14 | 2016-01-20 | 南昌西尔戴尔医疗科技有限公司 | Negative-exclusion-method intelligent screening system for cervical cancer cellpathology |
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US5287272A (en) | 1994-02-15 |
ATE140327T1 (en) | 1996-07-15 |
MC2101A1 (en) | 1991-02-15 |
FI101653B (en) | 1998-07-31 |
DE68926796D1 (en) | 1996-08-14 |
IL89859A0 (en) | 1989-12-15 |
JPH04501325A (en) | 1992-03-05 |
ZA892558B (en) | 1989-12-27 |
EP0336608B1 (en) | 1996-07-10 |
RU2096827C1 (en) | 1997-11-20 |
FI904922A0 (en) | 1990-10-05 |
BR8907355A (en) | 1991-03-19 |
DK262490A (en) | 1990-11-01 |
US5287272B1 (en) | 1996-08-27 |
EP0336608A3 (en) | 1990-08-29 |
US4965725A (en) | 1990-10-23 |
AU628342B2 (en) | 1992-09-17 |
SG46454A1 (en) | 1998-02-20 |
CA1323700C (en) | 1993-10-26 |
CN1037035A (en) | 1989-11-08 |
ES2090033T3 (en) | 1996-10-16 |
DK262490D0 (en) | 1990-11-01 |
HUT59239A (en) | 1992-04-28 |
AU3541589A (en) | 1989-11-03 |
US4965725B1 (en) | 1996-05-07 |
HU208186B (en) | 1993-08-30 |
EP0336608A2 (en) | 1989-10-11 |
BG51463A3 (en) | 1993-05-14 |
DE68926796T2 (en) | 1996-11-07 |
HU892848D0 (en) | 1990-12-28 |
FI101653B1 (en) | 1998-07-31 |
HK1003583A1 (en) | 1998-10-30 |
CN1031811C (en) | 1996-05-15 |
RO106931B1 (en) | 1993-07-30 |
GR3021252T3 (en) | 1997-01-31 |
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