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Combining Deep Learning And Medical Knowledge to Detect Cad..:

, In: Proceedings of the 12th International Symposium on Information and Communication Technology,

Nguyen, Dai-Nghia ; Le-Pham, Lan-Anh ; Nguyen, Hai-Dang. - p. 562-569 , 2023

Link: https://dl.acm.org/doi/10.1145/3628797.3628981

RT 
T1 <cTitle>Proceedings of the 12th International Symposium on Information and Communication Technology</cTitle>: T1 <Title>Combining Deep Learning And Medical Knowledge to Detect Cadiomegaly and Pleural Effusion in Chest X-rays Diagnosis</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3628981&Exemplar=1&LAN=DE
				
A1 Nguyen, Dai-Nghia
A1 Le-Pham, Lan-Anh
A1 Nguyen, Hai-Dang
A1 Tran, Minh-Triet
PB ACM
YR 2023
K1 Cardiomegaly
K1 Chest X-ray
K1 Costophrenic Angle Measurement
K1 Detection
K1 Pleural Effusion
K1 Pneumophrenic Contact Rate
K1 Segmentation
K1 Applied computing
K1 Life and medical sciences
K1 Computational biology
K1 Imaging
K1 Computing methodologies
K1 Artificial intelligence
K1 Computer vision
K1 Computer vision problems
K1 Image segmentation
K1 Knowledge representation and reasoning
K1 Reasoning about belief and knowledge
SP 562
OP 569
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3628797.3628981
DO https://dl.acm.org/doi/10.1145/3628797.3628981
SF ELIB - SuUB Bremen

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