Quantitative Analysis of Benign and Malignant Tumors in Histopathology: Predicting Prostate Cancer Grading Using SVM

An adenocarcinoma is a type of malignant cancerous tissue that forms from a glandular structure in epithelial tissue. Analyzed stained microscopic biopsy images were used to perform image manipulation and extract significant features for support vector machine (SVM) classification, to predict the Gl...

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Hlavní autoři:	Subrata Bhattacharjee, Hyeon-Gyun Park, Cho-Hee Kim, Deekshitha Prakash, Nuwan Madusanka, Jae-Hong So, Nam-Hoon Cho, Heung-Kook Choi
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2019-07-01
Edice:	Applied Sciences
Témata:	prostate cancer histopathology microscopic tissue image segmentation morphological quantitative classification SVM
On-line přístup:	https://www.mdpi.com/2076-3417/9/15/2969
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