The computer-assisted microscope analysis of Feulgen-stained nuclei linked to a supervised learning algorithm as an aid to prognosis assessment in invasive transitional bladder cell carcinomas

Analytical Cellular Pathology

Volumn 10, Issue 3, 1996, Pages 263-280

  Decaestecker, C ^a   Petein, M ^b   Van Velthoven, R ^b   Janssen, T ^c   Raviv, G ^c,d   Pasteels, J L ^a   Schulman, C ^c   Van Ham, P ^a   Kiss, R ^a,e  

^a UNIVERSITÉ LIBRE DE BRUXELLES   (Belgium)

^b JULES BORDET INSTITUTE   (Belgium)

^c ERASME HOSPITAL   (Belgium)

^d Sheba University Medical Center   (Israel)

^e FNRS   (Belgium)

Author keywords

Bladder tumour; Decision Tree technique; Digital image analysis; Feulgen staining; Prognosis

Indexed keywords

ADULT; AGED; ARTICLE; BLADDER CARCINOMA; CLINICAL ARTICLE; CONTROLLED STUDY; FEMALE; FEULGEN STAINING; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; MALE; PRIORITY JOURNAL; PROGNOSIS; TECHNIQUE;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; CARCINOMA, TRANSITIONAL CELL; COLORING AGENTS; DECISION TREES; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; MIDDLE AGED; NEOPLASM INVASIVENESS; PROGNOSIS; ROSANILINE DYES; URINARY BLADDER NEOPLASMS;

EID: 0029946741     PISSN: 09218912     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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