… Contrast-Enhanced Spectral Mammography Can Provide Useful Clinical Information About Prognostic Factors in Breast Cancer Patients: A Systematic Review of …

…, A Fabi, FR Ferranti, M Barba, C Botti, A Vidiri… - Frontiers in …, 2022 - frontiersin.org
… the breast imaging scenario; therefore, the eligible articles found on our research were not
Study concept and design, analysis and interpretation of data: FV and ST; statistical analysis…

Applying deep learning for breast cancer detection in radiology

E Mahoro, MA Akhloufi - Current Oncology, 2022 - mdpi.com
Magic-5 [43] is an Italian database of digitised mammogramsdigital mammographic
database that consists of 410 images … In this study, 780 ultrasound images were used to train the …

A Review of CAD systems for Breast Mass Detection in Mammography Based on Deep Learning

S Mohammadi, MA Livani - 2023 - preprints.org
… The Magic-5 database [11] is an Italian database that provides 3369 … This study used
six hundred mammography images of the DDSM data set. They also utilized …

King abdulaziz university breast cancer mammogram dataset (kau-bcmd)

AS Alsolami, W Shalash, W Alsaggaf, S Ashoor… - Data, 2021 - mdpi.com
… The Magic 5 Italian dataset [29] was collected from several … the mammogram diagnosis,
while most of the data images … In this research, we provide a public mammogram dataset …

[HTML][HTML] Assessing the Accuracy of a Computer-Aided Detection System for Suspected Malignant Breast Lesions Using Magnetic Resonance Imaging

M Farghadani, M Riahonejad, A Adibi… - Reports of Radiotherapy …, 2024 - brieflands.com
… -sectional study included forty patients with mammographically … by the breast imaging reporting
and data system (BI-RADS). … full-field digital mammography system was used for imaging. …

A systematic survey of deep learning in breast cancer

X Yu, Q Zhou, S Wang, YD Zhang - International Journal of …, 2022 - Wiley Online Library
imaging modalities and mammographic breast databasesMagic-5, 43 an Italian database
set up in 2002, contributes … The limitation of Magic-5 is the heterogeneity because images

Deep learning model for classification of breast cancer

K Shaikh, S Krishnan, R Thanki, K Shaikh… - Artificial Intelligence in …, 2021 - Springer
… There are many mammographic datasets available in the literature [1] which are presented in
… Also, Magic-5 [9], which was previously known as GPCALMA, is an Italian database built in …

Radiomics in triple negative breast cancer: new horizons in an aggressive subtype of the disease

CC Mireștean, C Volovăț, RI Iancu… - Journal of Clinical …, 2022 - mdpi.com
research direction based on correlating the data obtained from medical … The Italian MAGIC-5
trial aims to implement a database that … of mammography images. Within the project, 3369 …

Deep learning radiomics based on multimodal imaging for distinguishing benign and malignant breast tumours

G Lu, R Tian, W Yang, R Liu, D Liu, Z Xiang… - Frontiers in …, 2024 - frontiersin.org
study was to develop a comprehensive deep learning radiomic framework utilising multimodal
imaging data, including MG, US, and MRI data… patients, routine digital mammography was …

Feature selection and classification in mammography using hybrid crow search algorithm with Harris hawks optimization

S Thawkar - Biocybernetics and Biomedical Engineering, 2022 - Elsevier
… The purpose of this study is to develop a hybrid algorithm for … mammography (CESM) is the
recently developed imaging … Feature optimization is a critical component of data analytics and …