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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
Avoiding Tissue Overlap in 2D Images: Single-Slice DBT Classification Using Convolutional Neural Networks

Participants in the publication
Mendes J. (Author)
Dep. Física
 Matela N. (Author)
Dep. Física
 IBEB
 Garcia N. (Author)
Dep. Informática
 LASIGE
Date of Submisson/Request
2022-12-23
Date of Acceptance
2023-02-13
Date of Publication
2023-02-14

Where published
Tomography

Publication Identifiers
ISSN - 2379-139X

Publisher
MDPI AG

Edition
2023
Volume
9
Number
1

Number of pages
15
Starting page
398
Last page
412

Document Identifiers
DOI - https://doi.org/10.3390/tomography9010032

Rankings
SCOPUS Q2 (2021) - 3.5 - Radiology, Nuclear Medicine and Imaging
Web Of Science Q3 (2021) - 3 - RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING - SCIE
SCIMAGO Q2 (2021) - 808 - Radiology, Nuclear Medicine and Imaging

Keywords
carcinoma of the breast CNN DBT Deep Learning


Export

APA
Mendes J., Matela N., Garcia N. , (2023). Avoiding Tissue Overlap in 2D Images: Single-Slice DBT Classification Using Convolutional Neural Networks. Tomography, 9, 398-412. ISSN 2379-139X. eISSN .

IEEE
Mendes J., Matela N., Garcia N. , "Avoiding Tissue Overlap in 2D Images: Single-Slice DBT Classification Using Convolutional Neural Networks" in Tomography, vol. 9, pp. 398-412, 2023. 10.3390/tomography9010032

BIBTEX
@article{57514, author = {Mendes J. and Matela N. and Garcia N. }, title = {Avoiding Tissue Overlap in 2D Images: Single-Slice DBT Classification Using Convolutional Neural Networks}, journal = {Tomography}, year = 2023, pages = {398-412}, volume = 9 }