Deep learning algorithm performance in contouring head and neck organs at risk: a systematic review and single-arm meta-analysis

Liu, Peiru; Sun, Ying; Zhao, Xinzhuo; Yan, Ying

doi:10.1186/s12938-023-01159-y

Table 2 Characteristics of the included studies

From: Deep learning algorithm performance in contouring head and neck organs at risk: a systematic review and single-arm meta-analysis

Study ID	Country	Single center/Multicenter	Retrospective/Prospective research	Algorithm architecture name	Imaging modality	Imaging type	Internal validation	External validation	Amount of patient
Study ID	Country	Single center/Multicenter	Retrospective/Prospective research	Algorithm architecture name	Imaging modality	Imaging type	Internal validation	External validation	Total	Dev	Test
Dai et al. (2021) [27]	America	Single center	Retrospective	MS–RCNN	MRI	3D	√	√	118	95	23
Tao et al. (2019) [28]	China	Single center	Retrospective	Boosting ResNets	CT	2D	√	–	140	120	20
Korte et al. (2021) [29]	Australia	Single center	Retrospective	–	MRI	–	√	–	41	31	10
Oktay et al. (2020) [17]	UK	Multicenter	Retrospective	Modified 3D U-Net	CT	3D	√	√	186	166	20
Ye et al. (2022) [18]	China	Multicenter	Retrospective	UaNet	CT	3D	√	√	502	176	326
Chan et al. (2019) [30]	America	Single center	Retrospective	LL-CNN	CT	3D	√	–	200	180	20
Chen et al. (2021) [23]	China	Single center	Retrospective	WBNet	CT	3D	√	√	180	150	30
Liang et al. (2019) [31]	China	Single center	Retrospective	ODS net	CT	2D	√	–	185	139	46
Kim et al. (2021) [32]	Korea	Single center	Retrospective	Modified FC-DenseNet	CT	2D	√	–	100	80	20
Gao et al. (2021) [33]	China	Single center	Retrospective	FocusNetv2	CT	3D	√	√	1164	1044	120
Nuo et al. (2018) [34]	China	Single center	Retrospective	FCNN + SRM	CT	3D	√	–	32	22	10
Fang et al. (2021) [35]	China	Single center	Retrospective	U-net	CT	2.5D	√	–	1000	800	200
V van Dijk et al. (2020) [36]	Netherlands	Single center	Retrospective	DLC	CT	3D	√	–	693	589	104
Dai et al. (2022) [37]	America	Single center	Retrospective	R-CNN	MRI	–	√	–	60	48	12
Tappeiner et al. (2019) [38]	Austria	Single center	Retrospective	HighRes3DNets	CT	3D	√	–	39	25	14
Gou et al. (2020) [39]	China	Single center	Retrospective	SCSA-Net	CT	3D	√	–	48	38	10
Nuo et al. (2019) [40]	China	Single center	Retrospective	SC-GAN-DenseNet	CT/MRI	3D	√	√	57	37	20
Zhang et al. (2021) [41]	China	Single center	Retrospective	–	CT	3D	√	–	170	150	20
Zhao et al. (2021) [42]	America	Single center	Retrospective	Weaving attention U-net	CT	3D	√	√	115	90	25
Liang et al. (2020) [43]	Not mentioned	Single center	Retrospective	–	CT	2D	√	√	48	33	15
Koo et al. (2022) [44]	America	Single center	Retrospective	–	CT	2D	√	–	864	–	–
Rooij et al. (2019) [20]	Netherlands	Single center	Retrospective	3D U-Net	CT	3D	√	–	157	142	15

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