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Volumn 21, Issue 6, 1997, Pages 445-457

Automated computer-assisted detection of follicles in ultrasound images of ovary

Author keywords

Monitoring follicles; Ovaries; Ultrasound imaging

Indexed keywords

ALGORITHM; ARTICLE; COMPUTER ASSISTED DIAGNOSIS; ECHOGRAPHY; OVARY FOLLICLE; PATIENT MONITORING;

EID: 0031429102     PISSN: 01485598     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1022832515369     Document Type: Article
Times cited : (28)

References (7)
  • 1
    • 0028789976 scopus 로고
    • Prediction of ovarian cycle outcomes by follicular characteristics, stage 1
    • Gore, M. A., Nayudu, P. L., Vlaisavljevic, V., and Thomas, N., Prediction of ovarian cycle outcomes by follicular characteristics, stage 1. Hum. Reprod. 10:2313-2319, 1995.
    • (1995) Hum. Reprod. , vol.10 , pp. 2313-2319
    • Gore, M.A.1    Nayudu, P.L.2    Vlaisavljevic, V.3    Thomas, N.4
  • 5
    • 0025949788 scopus 로고
    • Speckle reduction with edge preservation in medical ultrasonic images using a homogeneous region growing mean filter (HROMF)
    • Koo, J. I., and Park, S. B., Speckle reduction with edge preservation in medical ultrasonic images using a homogeneous region growing mean filter (HROMF). Ultrasonic Imag 13:211-237, 1991.
    • (1991) Ultrasonic Imag , vol.13 , pp. 211-237
    • Koo, J.I.1    Park, S.B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.