Lumen and Nuclei Detection in Histopathology ofProstate Cancer Based on Morphological Feature Extraction

S. T.Yukiko Irliyani, Riries Rulaningtyas, S. Anny Rahaju, I. Made Mas Dwiyana Prasetya Wibawa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Prostate cancer is the most common cancer in men. The results of a fast and precise classification can be a fundamental objective of reference. Histological assessment is valuable information for doctors. The most common assessment for histological assessment of prostate cancer is the Gleason Grading System. Gleason pattern detection was done by extracting morphological features in the form of Line Length, Area Fraction, and the comparison between Line Length and Area Fraction. A l l morphological features become the input of backpropagation. Based on the results of backpropagation testing, this method can classify Gleason pattern images with an accuracy of 91.67%. The threshold of segmentation in determining the lumen and nucleus did not have a specific range in its threshold due to the lack of uniform contrast in each image.

Original languageEnglish
Title of host publication8th International Conference and Workshop on Basic and Applied Science, ICOWOBAS 2021
EditorsAnjar Tri Wibowo, M. Fariz Fadillah Mardianto, Riries Rulaningtyas, Satya Candra Wibawa Sakti, Muhammad Fauzul Imron, Rico Ramadhan
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735442610
DOIs
Publication statusPublished - 25 Jan 2022
Event8th International Conference and Workshop on Basic and Applied Science, ICOWOBAS 2021 - Surabaya, Indonesia
Duration: 25 Aug 202126 Aug 2021

Publication series

NameAIP Conference Proceedings
Volume2554
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference8th International Conference and Workshop on Basic and Applied Science, ICOWOBAS 2021
Country/TerritoryIndonesia
CitySurabaya
Period25/08/2126/08/21

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