[PDF][PDF] Image processing and machine learning techniques used in computer-aided detection system for mammogram screening-A review
This paper aims to review the previously developed Computer-aided detection (CAD)
systems for mammogram screening because increasing death rate in women due to breast …
systems for mammogram screening because increasing death rate in women due to breast …
Three‐class mammogram classification based on descriptive CNN features
In this paper, a novel classification technique for large data set of mammograms using a
deep learning method is proposed. The proposed model targets a three‐class classification …
deep learning method is proposed. The proposed model targets a three‐class classification …
Fast discrete curvelet transform and modified PSO based improved evolutionary extreme learning machine for breast cancer detection
A significant research area in medical imaging analysis is digital mammography breast
cancer detection in the early stage. For breast mass classification into the benign or …
cancer detection in the early stage. For breast mass classification into the benign or …
A grey wolf-based method for mammographic mass classification
Breast cancer is one of the most prevalent cancer types with a high mortality rate in women
worldwide. This devastating cancer still represents a worldwide public health concern in …
worldwide. This devastating cancer still represents a worldwide public health concern in …
[PDF][PDF] A survey on the preprocessing techniques of mammogram for the detection of breast cancer
The aim of this paper is to review existing approaches of preprocessing in mammographic
images. The objective of preprocessing is to improve the quality of the image and make it …
images. The objective of preprocessing is to improve the quality of the image and make it …
Breast cancer diagnosis in digitized mammograms using curvelet moments
Background: Feature extraction is a key issue in designing a computer aided diagnosis
system. Recent researches on breast cancer diagnosis have reported the effectiveness of …
system. Recent researches on breast cancer diagnosis have reported the effectiveness of …
[Retracted] Segmentation of Breast Masses in Mammogram Image Using Multilevel Multiobjective Electromagnetism‐Like Optimization Algorithm
In recent times, breast mass is the most diagnostic sign for early detection of breast cancer,
where the precise segmentation of masses is important to reduce the mortality rate. This …
where the precise segmentation of masses is important to reduce the mortality rate. This …
A statistical based feature extraction method for breast cancer diagnosis in digital mammogram using multiresolution representation
This paper presents a method for breast cancer diagnosis in digital mammogram images.
Multiresolution representations, wavelet or curvelet, are used to transform the mammogram …
Multiresolution representations, wavelet or curvelet, are used to transform the mammogram …
[BOOK][B] Second harmonic generation imaging
FS Pavone, PJ Campagnola - 2014 - api.taylorfrancis.com
Second-harmonic generation (SHG) microscopy began to emerge as a high-resolution
optical imaging modality in the late 1990s, about 10 years after two-photon excited …
optical imaging modality in the late 1990s, about 10 years after two-photon excited …
A comparison of different Gabor feature extraction approaches for mass classification in mammography
We investigate the performance of six different approaches for directional feature extraction
for mass classification problem in digital mammograms. These techniques use a bank of …
for mass classification problem in digital mammograms. These techniques use a bank of …