Deep Learning Approaches for Gynaecological Ultrasound Image Segmentation: A Radio-Frequency Vs B-Mode Comparison

AuthID
 P-00Q-XY0
7
Author(s)
Marques, S
·
Peixoto, C
·
Pignatelli, D
·
Beires, J
·
3
Editor(s)
Karray,F;Campilho,A;Yu,A
Document Type
Proceedings Paper
Year published
2019
Published
in IMAGE ANALYSIS AND RECOGNITION (ICIAR 2019), PT II in Lecture Notes in Computer Science, ISSN: 0302-9743
Volume: 11663, Pages: 295-306 (12)
Conference
16Th International Conference on Image Analysis and Recognition (Iciar), Date: AUG 27-29, 2019, Location: Waterloo, CANADA, Sponsors: Assoc Image & Machine Intelligence, Univ Waterloo, Fac Engn, Univ Porto, Fac Engn, Dept Elect & Comp Engn, Inst Syst & Comp Engn Technol & Sciand Science, Univ Waterloo, Waterloo AI Inst, Univ Waterloo, Ctr Pattern Anal & Machine Intelligence, Inst Syst & Comp Engn Technol & Sci, Ctr Biomed Engn Res, IEEE Computat Intelligence Soc, Waterloo Kitchener Chapter
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Publication Identifiers
Dblp: conf/iciar/CarvalhoMPPBSC19
Scopus: 2-s2.0-85071453254
Wos: WOS:000561796800025
Source Identifiers
ISSN: 0302-9743
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