8.7.1.2.6 Interactive Medical Image Segmentations

Chapter Contents (Back)
Deformable Curves. Segmentation. Interactive Segmentation. Of course, a lot of medical imagery is 3D:
See also Interactive 3D Segmentations, Depth, Range, Stereo.

Falcao, A.X.[Alexandre X.], Udupa, J.K.[Jayaram K.], Samarasekera, S.[Supun], Sharma, S.[Shoba], Hirsch, B.E.[Bruce Elliot], de Alencar Lotufo, R.[Roberto],
User-Steered Image Segmentation Paradigms: Live Wire and Live Lane,
GMIP(60), No. 4, July 1998, pp. 233-260. BibRef 9807

Xavier Falcão, A.[Alexandre], Udupa, J.K.[Jayaram K.], Miyazawa, F.K.,
An ultra-fast user-steered image segmentation paradigm: Live wire on the fly,
MedImg(19), No. 1, January 2000, pp. 55-62.
IEEE Top Reference. 0110
BibRef

Harders, M., Szekely, G.,
Enhancing human-computer interaction in medical segmentation,
PIEEE(91), No. 9, September 2003, pp. 1430-1442.
IEEE DOI 0309
BibRef

Zhao, F.[Feng], Xie, X.H.[Xiang-Hua],
An Overview of Interactive Medical Image Segmentation,
BMVA(2013), No. 1, 2013, pp. 7, 1-22.
PDF File. 1304
Survey, Segmentation. BibRef

Kurtek, S.[Sebastian], Su, J.Y.[Jing-Yong], Grimm, C.[Cindy], Vaughan, M.[Michelle], Sowell, R.[Ross], Srivastava, A.[Anuj],
Statistical analysis of manual segmentations of structures in medical images,
CVIU(117), No. 9, 2013, pp. 1036-1050.
Elsevier DOI 1307
Medical imaging BibRef

van Opbroek, A.[Annegreet], Ikram, M.A.[M. Arfan], Vernooij, M.W.[Meike W.], de Bruijne, M.[Marleen],
Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols,
MedImg(34), No. 5, May 2015, pp. 1018-1030.
IEEE DOI 1505
BibRef
Earlier:
Supervised Image Segmentation across Scanner Protocols: A Transfer Learning Approach,
MLMI12(160-167).
Springer DOI 1211
Biomedical imaging BibRef

Mahapatra, D.[Dwarikanath],
Combining multiple expert annotations using semi-supervised learning and graph cuts for medical image segmentation,
CVIU(151), No. 1, 2016, pp. 114-123.
Elsevier DOI 1610
Multiple experts BibRef

Mahapatra, D.[Dwarikanath],
Semi-supervised learning and graph cuts for consensus based medical image segmentation,
PR(63), No. 1, 2017, pp. 700-709.
Elsevier DOI 1612
Multiple experts BibRef

Lin, L., Yang, W., Li, C., Tang, J., Cao, X.,
Inference With Collaborative Model for Interactive Tumor Segmentation in Medical Image Sequences,
Cyber(46), No. 12, December 2016, pp. 2796-2809.
IEEE DOI 1612
Biomedical imaging BibRef

Valvano, G.[Gabriele], Leo, A.[Andrea], Tsaftaris, S.A.[Sotirios A.],
Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates,
MedImg(40), No. 8, August 2021, pp. 1990-2001.
IEEE DOI 2108
Image segmentation, Annotations, Shape, Training, Logic gates, Semantics, Weak supervision, scribbles, shape Priors BibRef


Zhang, S., Liew, J.H., Wei, Y., Wei, S., Zhao, Y.,
Interactive Object Segmentation With Inside-Outside Guidance,
CVPR20(12231-12241)
IEEE DOI 2008
Image segmentation, Semantics, Labeling, Heating systems, Task analysis, Information science, Biomedical imaging BibRef

Zhou, Y.[Yi], He, X.D.[Xiao-Dong], Huang, L.[Lei], Liu, L.[Li], Zhu, F.[Fan], Cui, S.S.[Shan-Shan], Shao, L.[Ling],
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images,
CVPR19(2074-2083).
IEEE DOI 2002
BibRef

Leon, L.M.C.[Leissi Margarita Castañeda], de Miranda, P.A.V.[Paulo André Vechiatto],
Efficient Interactive Multi-object Segmentation in Medical Images,
WiCV-E18(IV:705-710).
Springer DOI 1905
BibRef

Herve, N.[Nicolas], Servais, A.[Aude], Thervet, E.[Eric], Zhu, Y.X.[Ying-Xuan], Cheng, S.[Samuel], Goel, A.[Amrit],
Interactive segmentation of medical images using belief propagation with level sets,
ICIP10(4113-4116).
IEEE DOI 1009
BibRef

Jagadeesh, V.[Vignesh], Manjunath, B.S.,
Interactive graph cut segmentation of touching neuronal structures from electron micrographs,
ICIP10(3625-3628).
IEEE DOI 1009
BibRef

Vu, N.[Nhat], Manjunath, B.S.,
Graph cut segmentation of neuronal structures from transmission electron micrographs,
ICIP08(725-728).
IEEE DOI 0810
BibRef

Garibotto, G.[Giovanni], Garibotto, V.[Valentina],
Edge Tracking of subjective contours in Biomedical Imaging,
CIAP07(737-742).
IEEE DOI 0709
BibRef

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Interactive 3D Segmentations, Depth, Range, Stereo .


Last update:Oct 20, 2021 at 09:45:26