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Publication details

Document type
Academic documents

Document subtype
Master's dissertation

Title
End-to-end Deep Learning Pipeline for breast cancer detection, segmentation and classification in contrast-enhanced spectral mammography

Participants in the publication
Catarino, Jéssica Andreia Pinela (Author)
Silva, Sara (Adviser)
Dep. Informática
 LabMAg
 BioISI
 LASIGE
 Papanikolaou, Nickolas (Adviser)

Date of Publication
2022

Institution
FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA

Publication Identifiers

Document Identifiers
URL - https://repositorio.ul.pt/handle/10451/53712


Export

APA
Catarino, Jéssica Andreia Pinela, (2022). End-to-end Deep Learning Pipeline for breast cancer detection, segmentation and classification in contrast-enhanced spectral mammography. https://repositorio.ul.pt/handle/10451/53712 Silva, Sara, Papanikolaou, Nickolas,

IEEE
Catarino, Jéssica Andreia Pinela, "End-to-end Deep Learning Pipeline for breast cancer detection, segmentation and classification in contrast-enhanced spectral mammography", 2022.

BIBTEX
@MastersThesis{56052, author = {Catarino, Jéssica Andreia Pinela}, title = {End-to-end Deep Learning Pipeline for breast cancer detection, segmentation and classification in contrast-enhanced spectral mammography}, school = {FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA}, year = {2022}, OPTtype = {Documentos Académicos} }