Breast cancer segmentation methods: current status and future potentials

E Michael, H Ma, H Li, F Kulwa… - BioMed research …, 2021 - Wiley Online Library
Early breast cancer detection is one of the most important issues that need to be addressed
worldwide as it can help increase the survival rate of patients. Mammograms have been …

乳腺X 线图像计算机辅助诊断技术综述.

陈智丽, 高皓, 潘以轩, 邢风 - Journal of Computer …, 2022 - search.ebscohost.com
近年来, 乳腺癌严重威胁全球女性的身体健康, 乳腺X 线摄影是乳腺癌筛查的有效影像检查手段.
乳腺X 线图像计算机辅助诊断(computer aided diagnosis, CAD) 运用计算机视觉, 图像处理 …

A new method of detecting micro-calcification clusters in mammograms using contourlet transform and non-linking simplified PCNN

Y Guo, M Dong, Z Yang, X Gao, K Wang, C Luo… - Computer methods and …, 2016 - Elsevier
Background and objectives Mammography analysis is an effective technology for early
detection of breast cancer. Micro-calcification clusters (MCs) are a vital indicator of breast …

[PDF][PDF] 基于乳腺X 线摄影的肿块检测综述

王俊茜, 徐勇, 孙利雷, 蒲祖辉 - 自动化学报, 2021 - yongxu.org
摘要早期筛查和及时治疗是控制乳腺癌死亡率最为有效的方法. 乳腺X 线摄影检查作为医学界
公认的最有效的早期乳腺癌筛检工具, 可以很好的反映出乳腺存在的异常情况 …

An Adaptive Weighted Error Sensitive Fuzzy Clustering Technique for Mammogram Image Segmentation

BK Chaudhary, S Agrawal, PK Mishro… - … Journal of Computer …, 2023 - cspub-ijcisim.org
Mammogram image segmentation plays a crucial role in detecting the lesion region in the
breast masses. In this context, the key challenging issue is the false positive detection of …

[PDF][PDF] 乳腺铝靶X 线肿块检测及分割方法

董敏, 郭森, 马义德 - 计算机应用, 2015 - researchgate.net
乳腺癌临床中最常见的病理征象是可疑的钙化点及肿块, 钙化点的检测技术已经相对成熟,
而对肿块进行检测及分割仍是众多学者研究的热点. 首先简要介绍了乳腺癌的研究意义 …

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 …

[引用][C] Extracting region of interest in full-field digital mammogram with glcm and grow cut region based segmentation method

GRJ Lakshmi, DRA RAAZA - International Journal of Pharma and Bio Sciences, 2017