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This paper proposes to develop an automated diagnostic system for cervical pre-cancerous.
The lack of a widely available scoring system for cervical degenerative spondylosis encouraged the authors to establish and validate a systematic quantitative radiographic index.
Accordingly, the FIGO classification [2], which is the internationally recognised staging system for cervical cancer, relies solely on clinical examination in assessing tumour stage.
A change has recently been made to the Federation of Gynecology and Obstetrics (FIGO) staging system for cervical cancer to account for size within stage IIA cancers.
Kang's system for cervical spinal canal stenosis [60], Park's classification for foraminal cervical and central lumbar stenosis [61, 62], Bartynski's grading system for lumbar central stenosis [63] and Wildermuth's categorisation of foraminal stenosis [64] can be easily used in clinical practice.
Neurological assessment was conducted using the Japanese Orthopedic Association (JOA) scoring system for cervical myelopathy.
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The majority of published studies, regarding intelligent systems for cervical cancer support, are concerned about computer aided diagnosis systems based on either cytology or colposcopy image analysis [ 28– 31].
Both cytologic and histopathologic categories were assigned using the 2001 Bethesda System for reporting cervical cytology [7].
Papanikolau test results were presented in the class system for reporting cervical smear.
Smears were classified according to the Bethesda system for reporting cervical or vaginal cytological diagnosis.
The Bishop score is a 10-point scoring system for assessing cervical dilation, effacement, consistency, and position, as well as fetal station [ 1].
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