CYBEST Model 4. Automated cytologic screening system for uterine cancer utilizing image analysis processing.
CYBEST (Cyto-Biologic Electronic Screening System) utilizes image analysis technology for the automated prescreening of cervical cytology specimens. CYBEST Model 3, which includes a television scan system and automatic shading control, achieved our initial goal of rapid specimen processing (no more than three minutes to achieve a final specimen assessment). This paper describes CYBEST Model 4, developed in 1981; with the minicomputer of Model 3 replaced by a microcomputer, Model 4 is considerably smaller, about the size of a business desk. A new parameter, the intranuclear configuration (chromatin pattern), was added to the four parameters used in Model 3. The five parameters now used for the assessment and ranking of cytologic abnormalities are nuclear size, nuclear-cytoplasmic ratio, nuclear optical absorption, nuclear shape and intranuclear configuration. The other features of Model 4 are almost the same as those of Model 3. As an optional function, individual parameter measurement data, assessment of atypicality grade and cell images can be displayed on the CRT monitor by pointing to a cell with a light pen system. After completion of screening of a specimen, the ten cells judged to be most abnormal can be called automatically into the microscope optical field or the CRT monitor (in order ranging from the cell with the highest atypicality rank down) along with their associated data and the system's assessment of the specimen. By connection to a small business computer, all data can be transferred to a floppy disk for later retrieval.
Tanaka
N
N
Department of Pathology, Chiba Cancer Center Research Institute, Chiba Cancer Detection Center, Japan.
Ueno
T
T
Ikeda
H
H
Ishikawa
A
A
Yamauchi
K
K
Okamoto
Y
Y
Hosoi
S
S
D003581:Cytodiagnosis / Q000295:instrumentation; D003584:Cytological Techniques / Q000295:instrumentation*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008905:Minicomputers; D014594:Uterine Neoplasms / Q000175:diagnosis / Q000473:pathology*