4.6 Article

An Automatic Detection and Localization of Mammographic Microcalcifications ROI with Multi-Scale Features Using the Radiomics Analysis Approach

Related references

Note: Only part of the references are listed.
Article Biology

An Automated In-Depth Feature Learning Algorithm for Breast Abnormality Prognosis and Robust Characterization from Mammography Images Using Deep Transfer Learning

Tariq Mahmood et al.

Summary: The study introduces a deep learning method using convolutional neural networks to extract features and classify normal and suspicious regions in mammography. Experimental results demonstrate excellent performance and high classification accuracy of the deep learning model in breast mass recognition.

BIOLOGY-BASEL (2021)

Article Instruments & Instrumentation

Breast microcalcifications detection based on fusing features with DTCWT

Zhiqiong Wang et al.

JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY (2020)

Article Computer Science, Artificial Intelligence

Automated breast cancer detection using hybrid extreme learning machine classifier

Jayesh George Melekoodappattu et al.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2020)

Article Computer Science, Information Systems

Breast tumor detection and classification based on density

Neeraj Shrivastava et al.

MULTIMEDIA TOOLS AND APPLICATIONS (2020)

Article Multidisciplinary Sciences

Mammographic image classification with deep fusion learning

Xiangchun Yu et al.

SCIENTIFIC REPORTS (2020)

Article Computer Science, Artificial Intelligence

Detecting Asymmetric Patterns and Localizing Cancers on Mammograms

Yuanfang Guan et al.

PATTERNS (2020)

Article Computer Science, Information Systems

A Brief Survey on Breast Cancer Diagnostic With Deep Learning Schemes Using Multi-Image Modalities

Tariq Mahmood et al.

IEEE ACCESS (2020)

Article Computer Science, Artificial Intelligence

Feature extraction by PCA and diagnosis of breast tumors using SVM with DE-based parameter tuning

Luanyi Yang et al.

INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2019)

Article Biochemical Research Methods

A Multimodal Deep Neural Network for Human Breast Cancer Prognosis Prediction by Integrating Multi-Dimensional Data

Dongdong Sun et al.

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2019)

Article Engineering, Biomedical

Computer-Aided Detection of Mammographic Masses Using Hybrid Region Growing Controlled by Multilevel Thresholding

Jayasree Chakraborty et al.

JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING (2019)

Article Mathematical & Computational Biology

Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms

Hongmin Cai et al.

COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2019)

Article Computer Science, Artificial Intelligence

Convolutional neural network improvement for breast cancer classification

Fung Fung Ting et al.

EXPERT SYSTEMS WITH APPLICATIONS (2019)

Article Computer Science, Information Systems

A novel intelligent classification model for breast cancer diagnosis

Na Liu et al.

INFORMATION PROCESSING & MANAGEMENT (2019)

Article Radiology, Nuclear Medicine & Medical Imaging

Improved Cancer Detection Using Artificial Intelligence: a Retrospective Evaluation of Missed Cancers on Mammography

Alyssa T. Watanabe et al.

JOURNAL OF DIGITAL IMAGING (2019)

Article Health Care Sciences & Services

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

Jayesh George Melekoodappattu et al.

JOURNAL OF MEDICAL SYSTEMS (2019)

Article Health Care Sciences & Services

Convolutional Neural Networks for the Segmentation of Microcalcification in Mammography Imaging

Gabriele Valvano et al.

JOURNAL OF HEALTHCARE ENGINEERING (2019)

Article Computer Science, Information Systems

Breast Cancer Detection Using Extreme Learning Machine Based on Feature Fusion With CNN Deep Features

Zhiqiong Wang et al.

IEEE ACCESS (2019)

Article Computer Science, Interdisciplinary Applications

Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system

Mohammed A. Al-masni et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2018)

Article Computer Science, Artificial Intelligence

Anomaly classification in digital mammography based on multiple-instance learning

Abdelali Elmoufidi et al.

IET IMAGE PROCESSING (2018)

Article Computer Science, Artificial Intelligence

A context-sensitive deep learning approach for microcalcification detection in mammograms

Juan Wang et al.

PATTERN RECOGNITION (2018)

Article Computer Science, Information Systems

Image Classification Based on the Boost Convolutional Neural Network

Shin-Jye Lee et al.

IEEE ACCESS (2018)

Article Engineering, Biomedical

Extraction of fuzzy rules at different concept levels related to image features of mammography for diagnosis of breast cancer

Mahsa Goudarzi et al.

BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2018)

Review Oncology

A Deep Look Into the Future of Quantitative Imaging in Oncology: A Statement of Working Principles and Proposal for Change

Olivier Morin et al.

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2018)

Article Computer Science, Artificial Intelligence

Classification of benign and malignant breast tumors based on hybrid level set segmentation

Rahimeh Rouhi et al.

EXPERT SYSTEMS WITH APPLICATIONS (2016)

Article Multidisciplinary Sciences

Discrimination of Breast Cancer with Microcalcifications on Mammography by Deep Learning

Jinhua Wang et al.

SCIENTIFIC REPORTS (2016)

Article Computer Science, Interdisciplinary Applications

Technique for preprocessing of digital mammogram

Indra Kanta Maitra et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2012)

Article Multidisciplinary Sciences

Independent Component Analysis to Detect Clustered Microcalcification Breast Cancers

R. Gallardo-Caballero et al.

SCIENTIFIC WORLD JOURNAL (2012)

Article Computer Science, Artificial Intelligence

Detection of microcalcifications in digital mammograms using combined model-based and statistical textural features

Sung-Nien Yu et al.

EXPERT SYSTEMS WITH APPLICATIONS (2010)

Article Computer Science, Artificial Intelligence

Computer aided detection of microcalcifications in digital mammograms adopting a wavelet decomposition

Maria Rizzi et al.

INTEGRATED COMPUTER-AIDED ENGINEERING (2009)

Article Radiology, Nuclear Medicine & Medical Imaging

BIRADS™ classification in mammography

Corinne Balleyguier et al.

EUROPEAN JOURNAL OF RADIOLOGY (2007)

Article Engineering, Biomedical

A genetic algorithm design for microcalcification detection and classification in digital mammograms

J. Jiang et al.

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2007)

Article Radiology, Nuclear Medicine & Medical Imaging

Comparison of independent double readings and computer-aided diagnosis (CAD) for the diagnosis of breast calcifications

YL Jiang et al.

ACADEMIC RADIOLOGY (2006)

Article Biophysics

AUTOMATED METHODS IN CLUSTERED MICROCALCIFICATIONS DETECTION MODULE OF A CAD SYSTEM

Wan Mimi Diyana et al.

JOURNAL OF MECHANICS IN MEDICINE AND BIOLOGY (2003)

Article Computer Science, Artificial Intelligence

An automatic microcalcification detection system based on a hybrid neural network classifier

A Papadopoulos et al.

ARTIFICIAL INTELLIGENCE IN MEDICINE (2002)

Article Radiology, Nuclear Medicine & Medical Imaging

Breast imaging reporting and data system (BI-RADS)

L Liberman et al.

RADIOLOGIC CLINICS OF NORTH AMERICA (2002)