Sciweavers

MICCAI   2002 International Conference on Medical Image Computing and Computer Assisted Intervention
Wall of Fame | Most Viewed MICCAI-2002 Paper
MICCAI
2002
Springer
15 years 9 days ago
An Automated Segmentation Method of Kidney Using Statistical Information
: This paper presents a deformable model based approach for automated segmentation of kidneys from tree dimensional (3D) abdominal CT images. Since the quality of an input image is...
Baigalmaa Tsagaan, Akinobu Shimizu, Hidefumi Kobat...
Disclaimer and Copyright Notice
Sciweavers respects the rights of all copyright holders and in this regard, authors are only allowed to share a link to their preprint paper on their own website. Every contribution is associated with a desciptive image. It is the sole responsibility of the authors to ensure that their posted image is not copyright infringing. This service is compliant with IEEE copyright.
IdReadViewsTitleStatus
1Download preprint from source227
2Download preprint from source226
3Download preprint from source210
4Download preprint from source189
5Download preprint from source168
6Download preprint from source166
7Download preprint from source159
8Download preprint from source159
9Download preprint from source159
10Download preprint from source159
11Download preprint from source157
12Download preprint from source155
13Download preprint from source147
14Download preprint from source146
15Download preprint from source146
16Download preprint from source145
17Download preprint from source142
18Download preprint from source140
19Download preprint from source135
20Download preprint from source135
21Download preprint from source134
22Download preprint from source132
23Download preprint from source131
24Download preprint from source129
25Download preprint from source129
26Download preprint from source127
27Download preprint from source126
28Download preprint from source125
29Download preprint from source124
30Download preprint from source123
31Download preprint from source120
32Download preprint from source120
33Download preprint from source120
34Download preprint from source120
35Download preprint from source119
36Download preprint from source117
37Download preprint from source111
38Download preprint from source111
39Download preprint from source111
40Download preprint from source110
41Download preprint from source110
42Download preprint from source109
43Download preprint from source109
44Download preprint from source109
45Download preprint from source106
46Download preprint from source105
47Download preprint from source105
48Download preprint from source103
49Download preprint from source102
50Download preprint from source101
51Download preprint from source100
52Download preprint from source98
53Download preprint from source98
54Download preprint from source97
55Download preprint from source96
56Download preprint from source95
57Download preprint from source95
58Download preprint from source93
59Download preprint from source90
60Download preprint from source84
61Download preprint from source82