Publications

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

AuthID
P-00Q-XY0

Author(s)

Carvalho, C

Marques, S

Peixoto, C

Pignatelli, D

Beires, J

Silva, J

Campilho, A

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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