Image Segmentation using Hybrid Ant Colony Optimization: A Review

B Chaudhari, P Shetiye, A Gulve - 2021 Sixth International …, 2021 - ieeexplore.ieee.org
Nowadays segmentation is a promising research topic in image processing due to its
applications in many fields like robotics, medical, remote sensing, facial recognition, satellite …

[PDF][PDF] Advancement in research techniques on medical imaging processing for breast cancer detection

SJ Sushma, SCP Kumar - International Journal of Electrical and …, 2016 - core.ac.uk
With the advancement of medical image processing, the area of the healthcare sector has
started receiving the benefits of the modern arena of diagnostic tools to identify the diseases …

Image enhancement using bio-inspired algorithms on mammogram for cancer detection

SJ Sushma, PK SC - 2015 International Conference on …, 2015 - ieeexplore.ieee.org
Image preprocessing and image enhancement plays a critical role in medical image
processing. Considering the case study of breast cancer detection, it was found that there …

Aplicación de algoritmos aproximados al diagnóstico/clasificación de enfermedades

K Delsol, M Isaia, GF Minetti - Argentine Symposium on Artificial …, 2015 - sedici.unlp.edu.ar
El diagnóstico de enfermedades puede formularse como un problema de clasificación, en
consecuencia se trata de un problema NP-duro, como es el caso de las dos problemáticas …

Segmentation on digital mammogram images using hibrid K-means clustering and ant colony algorithms

AGHİ Okur, ÖÜPİ Görgel… - 2018 Electric Electronics …, 2018 - ieeexplore.ieee.org
In this study, It was tried to do segmentation on digital mammography images in order to
help expert or radiologist to find cancer region with computer aided. In addition to traditional …

Improved SMQT Algorithm and PCNN Model for Micro-calcification Clusters Detection in Mammograms

L Zhu, Y Guo, J Tu, Y Ma, Z Yang… - 2019 IEEE 7th …, 2019 - ieeexplore.ieee.org
This paper proposes a novel combined method to improve micro-calcification clusters (MCs)
detection accuracy in mammograms. The presented method includes three main steps …