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Automated Diagnosis of Breast Cancer Using Wavelet Based Entropy Features

https://doi.org/10.1109/iceca.2018.8474739

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What this work says

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

inferredcites →https://doi.org/10.1001/jama.293.10.1245openalex-snapshot

Screening for Breast Cancer

inferredcites →https://doi.org/10.1007/978-94-007-0489-3_2openalex-snapshot

Screening of Breast Cancer

inferredcites →https://doi.org/10.1007/s10278-007-9044-5openalex-snapshot

Information Entropy Measure for Evaluation of Image Quality

inferredcites →https://doi.org/10.1007/s13042-018-0896-4openalex-snapshot

A nonlinear kernel support matrix machine for matrix learning

inferredcites →https://doi.org/10.1016/j.eswa.2008.01.009openalex-snapshot

Support vector machines combined with feature selection for breast cancer diagnosis

inferredcites →https://doi.org/10.1023/a:1018628609742openalex-snapshot

Least Squares Support Vector Machine Classifiers

inferredcites →https://doi.org/10.1038/s41598-017-04075-zopenalex-snapshot

Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model

inferredcites →https://doi.org/10.1101/242818openalex-snapshot

Breast Cancer Histopathological Image Classification: A Deep Learning Approach

inferredcites →https://doi.org/10.1109/bibm.2018.8621307openalex-snapshot

Breast Cancer Histopathological Image Classification: A Deep Learning Approach

inferredcites →https://doi.org/10.1109/icip.2014.7025464openalex-snapshot

Wavelet-based statistical features for distinguishing mitotic and non-mitotic cells in breast cancer histopathology

inferredcites →https://doi.org/10.1109/icsipa.2017.8120587openalex-snapshot

Classification of benign and malignant tumors in histopathology images

inferredcites →https://doi.org/10.1109/smc.2017.8122889openalex-snapshot

Deep features for breast cancer histopathological image classification

inferredcites →https://doi.org/10.1109/tbme.2015.2496264openalex-snapshot

A Dataset for Breast Cancer Histopathological Image Classification

inferredcites →https://doi.org/10.1142/9789812776655openalex-snapshot

Least Squares Support Vector Machines

inferredcites →https://doi.org/10.1145/3132300.3132331openalex-snapshot

Classification of Histopathology Images of Breast into Benign and Malignant using a Single-layer Convolutional Neural Network

inferredcites →https://doi.org/10.1155/2018/1542509openalex-snapshot

Image Denoising Using Singular Value Difference in the Wavelet Domain

inferredcites →https://doi.org/10.14257/ijast.2014.62.06openalex-snapshot

Review on Histopathological Slide Analysis using Digital Microscopy

inferredcites →https://doi.org/10.5120/1467-1982openalex-snapshot

An Adaptive K-means Clustering Algorithm for Breast Image Segmentation

What points at this work

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

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DenseNet for Breast Tumor Classification in Mammographic Images

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Detection of breast cancer by deep belief network with improved activation function

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Performance Analysis of SVM and KNN in Breast Cancer Classification: A Survey

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Feature Selection and Biomedical Signal Classification Using Minimum Redundancy Maximum Relevance and Artificial Neural Network

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Iris Recognition Using Integer Wavelet Transform and Log Energy Entropy

inferred← citeshttps://doi.org/10.1007/s11042-023-14329-wopenalex-snapshot

Breast lesion detection from MRI images using quasi-oppositional slime mould algorithm

inferred← citeshttps://doi.org/10.1016/j.bbe.2022.07.006openalex-snapshot

Classification of breast cancer from histopathology images using an ensemble of deep multiscale networks

inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102728openalex-snapshot

Adversarial robust image processing in medical digital twin

inferred← citeshttps://doi.org/10.1016/j.jksuci.2021.08.004openalex-snapshot

MultiNet: A deep neural network approach for detecting breast cancer through multi-scale feature fusion

inferred← citeshttps://doi.org/10.1016/j.neucom.2019.09.044openalex-snapshot

BreakHis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights

inferred← citeshttps://doi.org/10.1038/s41598-025-11816-yopenalex-snapshot

Enhancing breast cancer classification using a deep sparse wavelet autoencoder approach

inferred← citeshttps://doi.org/10.1038/s41598-025-90288-6openalex-snapshot

Synergistic transfer learning and adversarial networks for breast cancer diagnosis: benign vs. invasive classification

inferred← citeshttps://doi.org/10.1088/2057-1976/ae07e8openalex-snapshot

Histopathological cancer images classification with Deng entropy

inferred← citeshttps://doi.org/10.1109/access.2020.3021557openalex-snapshot

Deep Learning Applied for Histological Diagnosis of Breast Cancer

inferred← citeshttps://doi.org/10.1109/access.2023.3326478openalex-snapshot

Breast Cancer Diagnosis Using Lightweight Deep Convolution Neural Network Model

inferred← citeshttps://doi.org/10.1109/aect47998.2020.9194194openalex-snapshot

Automatic Breast Cancer Classification from Histopathological Images

inferred← citeshttps://doi.org/10.1109/cec60901.2024.10612039openalex-snapshot

NeuroLGP-SM: Scalable Surrogate-Assisted Neuroevolution for Deep Neural Networks

inferred← citeshttps://doi.org/10.1109/iccct2.2019.8824884openalex-snapshot

An Efficient Weld Image Classification System Using Wavelet And Support Vector Machine

inferred← citeshttps://doi.org/10.1109/icce48956.2021.9352142openalex-snapshot

Accuracy Improvement in Binary and Multi-Class Classification of Breast Histopathology Images

inferred← citeshttps://doi.org/10.1109/icet58434.2023.10211259openalex-snapshot

Breast Cancer Pathological Image Classification Based on Deep Learning

inferred← citeshttps://doi.org/10.1109/icmi55296.2022.9873696openalex-snapshot

Analysis of Breast Cancer Classification with Machine Learning based Algorithms

inferred← citeshttps://doi.org/10.1109/icmi68585.2026.11539789openalex-snapshot

Integrating Vision Transformers and Generative Models for High Accuracy Breast Cancer Detection from Histopathology Images

inferred← citeshttps://doi.org/10.1109/incacct61598.2024.10551068openalex-snapshot

Hybrid Deep Learning based Multi-Classification of Breast Cancer Approach using Histology Images

inferred← citeshttps://doi.org/10.1109/prai53619.2021.9551033openalex-snapshot

A Super-Resolution Generative Adversarial Network with Siamese CNN Based on Low Quality for Breast Cancer Identification

inferred← citeshttps://doi.org/10.1109/rteict46194.2019.9016921openalex-snapshot

Recognition and Prediction of Breast Cancer using Supervised Diagnosis

inferred← citeshttps://doi.org/10.1371/journal.pone.0214587openalex-snapshot

Breast cancer histopathological image classification using convolutional neural networks with small SE-ResNet module

inferred← citeshttps://doi.org/10.3233/faia220431openalex-snapshot

On the Wavelet Convolution Neural Network for Breast Cancer Image Analysis

inferred← citeshttps://doi.org/10.3389/fgene.2020.547327openalex-snapshot

Fine-Grained Breast Cancer Classification With Bilinear Convolutional Neural Networks (BCNNs)

inferred← citeshttps://doi.org/10.3390/mi13122197openalex-snapshot

Application of Deep Learning in Histopathology Images of Breast Cancer: A Review

inferred← citeshttps://doi.org/10.3390/s23020656openalex-snapshot

MobileNet-SVM: A Lightweight Deep Transfer Learning Model to Diagnose BCH Scans for IoMT-Based Imaging Sensors

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Klasifikasi Citra Digital Mammografi Berdasarkan Luas Diameter Kanker Payudara dengan Metode K-Means Clustering

inferred← citeshttps://doi.org/10.35940/ijrte.b1076.0782s719openalex-snapshot

Performance of Support Vector Machine Kernels (SVM-K) on Breast Cancer (BC) Dataset

inferred← citeshttps://doi.org/10.36306/konjes.1617654openalex-snapshot

A SQUEEZE-EXCITE INTEGRATED NOVEL CNN MODEL FOR BREAST CANCER HISTOPATHOLOGICAL IMAGE CLASSIFICATION

inferred← citeshttps://doi.org/10.4018/978-1-6684-5422-0.ch005openalex-snapshot

Breast Cancer Classification Using Deep Learning

inferred← citeshttps://doi.org/10.4018/978-1-6684-7136-4.ch018openalex-snapshot

Machine Learning-Aided Automatic Detection of Breast Cancer

inferred← citeshttps://doi.org/10.4018/978-1-7998-7709-7.ch016openalex-snapshot

Machine Learning-Aided Automatic Detection of Breast Cancer

inferred← citeshttps://doi.org/10.9734/ajrcos/2021/v9i130212openalex-snapshot

Medical Images Breast Cancer Segmentation Based on K-Means Clustering Algorithm: A Review

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