TY - GEN
T1 - Lumen and Nuclei Detection in Histopathology ofProstate Cancer Based on Morphological Feature Extraction
AU - Irliyani, S. T.Yukiko
AU - Rulaningtyas, Riries
AU - Rahaju, S. Anny
AU - Prasetya Wibawa, I. Made Mas Dwiyana
N1 - Publisher Copyright:
© 2022 American Institute of Physics Inc.. All rights reserved.
PY - 2022/1/25
Y1 - 2022/1/25
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85147304299&partnerID=8YFLogxK
U2 - 10.1063/5.0106231
DO - 10.1063/5.0106231
M3 - Conference contribution
AN - SCOPUS:85147304299
T3 - AIP Conference Proceedings
BT - 8th International Conference and Workshop on Basic and Applied Science, ICOWOBAS 2021
A2 - Wibowo, Anjar Tri
A2 - Mardianto, M. Fariz Fadillah
A2 - Rulaningtyas, Riries
A2 - Sakti, Satya Candra Wibawa
A2 - Imron, Muhammad Fauzul
A2 - Ramadhan, Rico
PB - American Institute of Physics Inc.
T2 - 8th International Conference and Workshop on Basic and Applied Science, ICOWOBAS 2021
Y2 - 25 August 2021 through 26 August 2021
ER -