Perbandingan metode untuk perbaikan kualitas citra mammogram

HR Fajrin - Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu …, 2016 - jurnal.umk.ac.id
Kanker payudara merupakan pembunuh nomor satu pada wanita di seluruh dunia. Sejauh
ini, deteksi dari kanker payudara hanya menggunakan mata telanjang dan berdasarkan jam …

Mammogram's denoising in spatial and frequency domain

M Kumar, VM Thakkar, HS Bhadauria… - 2016 2nd International …, 2016 - ieeexplore.ieee.org
Breast cancer is one of the most incurable diseases, which leads to the death of women
globally every year. For early detection of a tumor in the breast, a basic technique …

Texture classification based on curvelet transform and extreme learning machine with reduced feature set

S Berraho, SE Margae, M Ait Kerroum… - Multimedia Tools and …, 2017 - Springer
In this work, a novel approach for texture classification is proposed. We present a highly
discriminative and simple descriptor to achieve feature learning and classification …

机器学习在乳腺肿瘤分类检测中的应用研究.

李喆, 吕卫, 闵行, 褚晶辉 - Computer Engineering & …, 2016 - search.ebscohost.com
摘要机器学习算法在医学检测与诊断尤其是乳腺肿瘤分类检测与诊断中扮演愈发重要的角色
分析比较了几种经典机器学习分类器在乳腺肿瘤分类检测中的性能并从准确率灵敏度特异性及 …

[PDF][PDF] Multi-Model Analysis of Mammograms

VK Kochari - 2021 - researchgate.net
In this paper mammogram classification is introduced. The system takes mammogram, pre-
processes it by applying Adaptive Histogram Equalization. The enhanced image is …

Recent Advances in Extreme Learning-Based Approaches for Breast Cancer Diagnosis

S Padhi, S Rup - 2019 International Conference on Information …, 2019 - ieeexplore.ieee.org
This paper reviews some of the notable recent findings in breast cancer detection for
Computer-Aided Diagnosis (CADx) systems using Extreme Learning Machine (ELM) …

Analysis of texture for classification of breast cancer on mammogram images

HA Nugroho, HR Fajrin, I Soesanti… - … Journal of Medical …, 2018 - inderscienceonline.com
Breast cancer is a top cancer among women in the world. In conventional method, breast
cancer can be detected by a medical expertise observation on patient's mammogram …

[PDF][PDF] Optimum Feature Selection for Efficient ISAR Image Classification

B Mamatha, VV Kumari - Indian Journal …, 2018 - sciresol.s3.us-east-2.amazonaws …
Objective: To identify optimum features from the initial feature set to classify ship ISAR
images with good accuracy. The optimum feature selection brings down the computational …

Neural network based ensemble classifier for digital mammography

N McLeod - 2016 - acquire.cqu.edu.au
Breast cancer is a debilitating condition that has a high mortality and morbidity rate and is
the most commonly diagnosed form of cancer in women. The aetiology of the disease is not …