Quantitative Image Analysis on Histologic Virtual Slides for Prostate Pathology Diagnosis, Response to Chemopreventive Agents, and Prognosis

Author:

Montironi Rodolfo,Cheng Liang,Lopez-Beltran Antonio,Scarpelli Marina

Publisher

Elsevier BV

Subject

Urology

Reference12 articles.

1. Nuclear shape and architecture in benign fields predict biochemical recurrence in prostate cancer patients following radical prostatectomy;Lee;Eur Urol.,2017

2. Multimegapixel images in histopathology;Thompson;Anal Quant Cytol Histol,2001

3. The use of morphological characteristics and texture analysis in the identification of tissue composition in prostatic neoplasia;Diamond;Hum Pathol,2004

4. Niazi MK, Yao K, Zynger D, et al. Visually meaningful histopathological features for automatic grading of prostate cancer. IEEE J Biomed Health Inform. In press.

5. Knowledge-guided histometry of the basal cell layer in prostatic intraepithelial neoplasia;Thompson;Anal Quant Cytol Histol,1996

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