Results - WMH Segmentation Challenge

The table below presents the up-to-date results of the WMH Segmentation Challenge. Methods are ranked according to the five evaluation criteria.

#	Team	Rank	DSC	H95 (mm)	AVD (%)	Recall	F1
1	sysu_media 2	0.0108	0.80	5.76	28.73	0.87	0.76
2	sysu_media	0.0209	0.80	6.30	21.88	0.84	0.76
3	coroflo	0.0414	0.79	5.46	22.53	0.76	0.77
4	neuro.ml 2	0.0434	0.78	6.33	30.63	0.82	0.73
5	cian	0.0495	0.78	6.82	21.72	0.83	0.70
6	nlp_logix	0.0599	0.77	7.16	18.37	0.73	0.78
7	nih_cidi 2	0.0730	0.75	7.35	27.26	0.81	0.69
8	nic-vicorob	0.0852	0.77	8.28	28.54	0.75	0.71
9	misp 2	0.1102	0.78	11.10	19.71	0.68	0.71
10	k2	0.1457	0.77	9.79	19.08	0.59	0.70
11	lrde	0.1727	0.73	14.54	21.71	0.63	0.67
12	misp	0.1751	0.72	14.88	21.36	0.63	0.68
13	ipmi-bern	0.2563	0.69	9.72	19.92	0.44	0.57
14	nih_cidi	0.2784	0.68	12.82	196.38	0.59	0.54
15	scan	0.2843	0.63	14.34	34.67	0.55	0.51
16	tig_2	0.2983	0.68	17.48	39.07	0.54	0.46
17	livia	0.2986	0.61	22.70	38.39	0.54	0.61
18	achilles	0.3026	0.63	11.82	24.41	0.45	0.52
19	skkumedneuro	0.3553	0.58	19.02	58.54	0.47	0.51
20	tignet	0.3860	0.59	21.58	86.22	0.46	0.45
21	tig	0.3907	0.60	17.86	34.34	0.38	0.42
22	knight	0.4187	0.70	17.03	39.99	0.25	0.35
23	upc_dlmi	0.4408	0.53	27.01	208.49	0.57	0.42
24	nist	0.4795	0.53	15.91	109.98	0.37	0.25
25	text_class	0.5747	0.50	28.23	146.64	0.27	0.29
26	neuro.ml	0.6047	0.51	37.36	614.05	0.71	0.21
27	hadi	0.8940	0.23	52.02	828.61	0.58	0.11

Results presented at MICCAI 2017 in Quebec City can be found here: MICCAI results.