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Detection and classification of breast cancer from digital mammograms using hybrid extreme learning machine classifier

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/ima.22352openalex-snapshot

Classification of mammogram images using the energy probability in frequency domain and most discriminative power coefficients

inferredcites →https://doi.org/10.1002/ima.22364openalex-snapshot

Detection and classification of microcalcification from digital mammograms with firefly algorithm, extreme learning machine and non‐linear regression models: A comparison

inferredcites →https://doi.org/10.1002/ima.22384openalex-snapshot

Early detection of cancerous tissues in human breast utilizing near field microwave holography

inferredcites →https://doi.org/10.1002/ima.22400openalex-snapshot

Deep learning and optimization algorithms for automatic breast cancer detection

inferredcites →https://doi.org/10.1007/978-3-319-21212-8_7openalex-snapshot

PCA-PNN and PCA-SVM Based CAD Systems for Breast Density Classification

inferredcites →https://doi.org/10.1007/s00521-012-0881-xopenalex-snapshot

A novel image mining technique for classification of mammograms using hybrid feature selection

inferredcites →https://doi.org/10.1007/s10916-019-1316-3openalex-snapshot

A Hybridized ELM for Automatic Micro Calcification Detection in Mammogram Images Based on Multi-Scale Features

inferredcites →https://doi.org/10.1007/s11042-016-3605-xopenalex-snapshot

A new fuzzy Gaussian mixture model (FGMM) based algorithm for mammography tumor image classification

inferredcites →https://doi.org/10.1007/s11042-016-4328-8openalex-snapshot

Mammogram classification using dynamic time warping

inferredcites →https://doi.org/10.1007/s11721-008-0021-5openalex-snapshot

Glowworm swarm optimization for simultaneous capture of multiple local optima of multimodal functions

inferredcites →https://doi.org/10.1007/s40846-017-0321-6openalex-snapshot

An Automatic Computer-Aided Diagnosis System for Breast Cancer in Digital Mammograms via Deep Belief Network

inferredcites →https://doi.org/10.1016/j.cmpb.2014.04.010openalex-snapshot

Computer aided detection system for micro calcifications in digital mammograms

inferredcites →https://doi.org/10.1016/j.cmpb.2015.06.009openalex-snapshot

Breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution

inferredcites →https://doi.org/10.1016/j.eswa.2017.05.052openalex-snapshot

Non-linear classifiers applied to EEG analysis for epilepsy seizure detection

inferredcites →https://doi.org/10.1016/j.ins.2016.01.039openalex-snapshot

A survey of randomized algorithms for training neural networks

inferredcites →https://doi.org/10.1016/j.jbi.2014.01.010openalex-snapshot

Computer-aided detection of breast cancer on mammograms: A swarm intelligence optimized wavelet neural network approach

inferredcites →https://doi.org/10.1016/j.media.2018.12.006openalex-snapshot

Automated diagnosis of breast ultrasonography images using deep neural networks

inferredcites →https://doi.org/10.1016/j.neucom.2014.10.040openalex-snapshot

A new automatic mass detection method for breast cancer with false positive reduction

inferredcites →https://doi.org/10.1016/j.neucom.2014.12.032openalex-snapshot

Mammogram classification using two dimensional discrete wavelet transform and gray-level co-occurrence matrix for detection of breast cancer

inferredcites →https://doi.org/10.1016/j.procs.2015.07.340openalex-snapshot

Mammograms Classification Using Gray-level Co-occurrence Matrix and Radial Basis Function Neural Network

inferredcites →https://doi.org/10.1016/j.procs.2015.07.341openalex-snapshot

Mammogram Classification using Law's Texture Energy Measure and Neural Networks

inferredcites →https://doi.org/10.1016/j.ultras.2015.10.023openalex-snapshot

Automated 3D ultrasound image segmentation to aid breast cancer image interpretation

inferredcites →https://doi.org/10.1039/c8an00189hopenalex-snapshot

An improved k -nearest neighbour method to diagnose breast cancer

inferredcites →https://doi.org/10.1109/cce.2012.6315919openalex-snapshot

Automatic identification of massive lesions in digitalized mammograms

inferredcites →https://doi.org/10.1109/iccci.2019.8821877openalex-snapshot

Extreme learning machine based classification for detecting micro-calcification in mammogram using multi scale features

inferredcites →https://doi.org/10.1109/iccs1.2017.8326032openalex-snapshot

Efficient preprocessing filters and mass segmentation techniques for mammogram images

inferredcites →https://doi.org/10.1109/icedss.2017.8073694openalex-snapshot

Preprocessing filters for mammogram images: A review

inferredcites →https://doi.org/10.1109/tmi.2018.2860257openalex-snapshot

Tumor Detection in Automated Breast Ultrasound Using 3-D CNN and Prioritized Candidate Aggregation

inferredcites →https://doi.org/10.1109/tnnls.2018.2890334openalex-snapshot

Morphological Convolutional Neural Network Architecture for Digit Recognition

inferredcites →https://doi.org/10.1109/wispnet.2017.8300160openalex-snapshot

Efficient mammographie mass segmentation techniques: A review

inferredcites →https://doi.org/10.1117/1.jei.27.5.051208openalex-snapshot

Development and analysis of anatomically real breast phantoms using different dispersion models

inferredcites →https://doi.org/10.1155/2017/2610628openalex-snapshot

Artificial Neural Networks in Image Processing for Early Detection of Breast Cancer

inferredcites →https://doi.org/10.1186/s12885-018-4666-1openalex-snapshot

The impact of mammography screening programmes on incidence of advanced breast cancer in Europe: a literature review

inferredcites →https://doi.org/10.3233/thc-170851openalex-snapshot

Effective mammogram classification based on center symmetric-LBP features in wavelet domain using random forests

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/cpe.7233openalex-snapshot

Breast cancer: Three‐class masses classification in mammograms using Apriori dynamic selection

inferred← citeshttps://doi.org/10.1002/cpe.7443openalex-snapshot

A review on optimization techniques for medical image analysis

inferred← citeshttps://doi.org/10.1002/ima.22537openalex-snapshot

Early detection of breast malignancy using wavelet features and optimized classifier

inferred← citeshttps://doi.org/10.1002/ima.22635openalex-snapshot

Malignancy detection on mammograms by integrating modified convolutional neural network classifier and texture features

inferred← citeshttps://doi.org/10.1002/ima.22663openalex-snapshot

Liver tumor segmentation using a new asymmetrical dilated convolutional semantic segmentation network in CT images

inferred← citeshttps://doi.org/10.1002/ima.22690openalex-snapshot

Real‐time automated segmentation of breast lesions using CNN‐based deep learning paradigm: Investigation on mammogram and ultrasound

inferred← citeshttps://doi.org/10.1002/ima.22886openalex-snapshot

Classifications of benign and malignant mammogram images using Gabor‐modified CNN architecture

inferred← citeshttps://doi.org/10.1007/978-981-16-7330-6_61openalex-snapshot

Weapon Detection Using ML for PPA

inferred← citeshttps://doi.org/10.1007/978-981-96-7523-4_18openalex-snapshot

An Automated Approach for Detecting Breast Cancer via Segmentation and Classification Using Colour Dense Model-Based Convolutional Neural Network Techniques

inferred← citeshttps://doi.org/10.1007/978-981-99-3611-3_6openalex-snapshot

Breast Cancer Detection Using Hybrid Segmentation Using FOA and FCM Clustering

inferred← citeshttps://doi.org/10.1007/s00521-022-08062-yopenalex-snapshot

Insight into breast cancer detection: new hybrid feature selection method

inferred← citeshttps://doi.org/10.1007/s11042-023-16414-6openalex-snapshot

Multimodal classification of breast cancer using feature level fusion of mammogram and ultrasound images in machine learning paradigm

inferred← citeshttps://doi.org/10.1007/s12652-022-03713-3openalex-snapshot

Breast cancer detection in mammogram: combining modified CNN and texture feature based approach

inferred← citeshttps://doi.org/10.1007/s42835-023-01747-xopenalex-snapshot

A Deep Learning Based Breast Cancer Classification System Using Mammograms

inferred← citeshttps://doi.org/10.1016/j.bspc.2021.103354openalex-snapshot

Combining the advantages of radiomic features based feature extraction and hyper parameters tuned RERNN using LOA for breast cancer classification

inferred← citeshttps://doi.org/10.1016/j.tej.2022.107137openalex-snapshot

Deep recurrent extreme learning machine for behind-the-meter photovoltaic disaggregation

inferred← citeshttps://doi.org/10.1080/21681163.2023.2219766openalex-snapshot

Breast mass segmentation using mammographic data: a systematic review

inferred← citeshttps://doi.org/10.1109/asiancon51346.2021.9544689openalex-snapshot

Identification of Mango Leaf Disease Using Deep Learning

inferred← citeshttps://doi.org/10.1109/asiancon51346.2021.9544829openalex-snapshot

Brain Tumor Detection that uses CNN in MRI

inferred← citeshttps://doi.org/10.1109/ic3se62002.2024.10593581openalex-snapshot

Breast Cancer Classification Using Customized Convolution Neural Network

inferred← citeshttps://doi.org/10.1109/icccnt51525.2021.9580160openalex-snapshot

Exploring Residual Networks for Breast Cancer Detection from Ultrasound Images

inferred← citeshttps://doi.org/10.1109/iceeict53079.2022.9768548openalex-snapshot

Mammogram Image Grade Gauging of Denoising Filters & Enhancement Methods

inferred← citeshttps://doi.org/10.11113/mjfas.v20n6.3714openalex-snapshot

Improving Classification Performance of Spatial Filters in Mammographic Microcalcifications Images Using Persistent Homology

inferred← citeshttps://doi.org/10.13005/bpj/3295openalex-snapshot

An Optimized Theory-Guided CNN Framework with Siberian Tiger Algorithm for Breast Cancer Image Analysis

inferred← citeshttps://doi.org/10.14445/23488379/ijeee-v10i5p112openalex-snapshot

Effective Breast Cancer Prediction Based on Feature Extraction, Fusion And Selection using Hybrid Methodologies

inferred← citeshttps://doi.org/10.21203/rs.3.rs-3176862/v1openalex-snapshot

An Automated Breast Cancer Diagnosis Framework using a Proficient PVSS-CGRNN Classification Model

inferred← citeshttps://doi.org/10.21203/rs.3.rs-771965/v1openalex-snapshot

Classification of Breast Cancer Using Neutrosophic Techniques and Deep Neural Network

inferred← citeshttps://doi.org/10.3233/jifs-235116openalex-snapshot

Digital mammogram based robust feature extraction and selection for effective breast cancer classification in earlier stage

inferred← citeshttps://doi.org/10.3390/cancers15092606openalex-snapshot

Persistent Homology-Based Machine Learning Method for Filtering and Classifying Mammographic Microcalcification Images in Early Cancer Detection

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