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Elsevier DOI
BibRef
7701
Earlier:
Automatic Detection of Rib Contours in Chest Radiographs,
IJCAI75(688-694).
BibRef
Wechsler, H., and
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Image Processing Algorithms Applied to Rib Boundary Detection
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CGIP(7), No. 3, June 1978, pp. 375-390.
Elsevier DOI
BibRef
7806
de Souza, P.,
Automatic Rib Detection in Chest Radiographs,
CVGIP(23), No. 2, August 1983, pp. 129-161.
Elsevier DOI
BibRef
8308
Suzuki, K.,
Abe, H.,
MacMahon, H.,
Doi, K.,
Image-Processing Technique for Suppressing Ribs in Chest Radiographs by
Means of Massive Training Artificial Neural Network (MTANN),
MedImg(25), No. 4, April 2006, pp. 406-416.
IEEE DOI
0604
BibRef
Loog, M.,
van Ginneken, B.,
Segmentation of the Posterior Ribs in Chest Radiographs Using Iterated
Contextual Pixel Classification,
MedImg(25), No. 5, May 2006, pp. 602-611.
IEEE DOI
0605
BibRef
Earlier:
Supervised segmentation by iterated contextual pixel classification,
ICPR02(II: 925-928).
IEEE DOI
0211
BibRef
Gomez-Laberge, C.,
Arnold, J.H.,
Wolf, G.K.,
A Unified Approach for EIT Imaging of Regional Overdistension and
Atelectasis in Acute Lung Injury,
MedImg(31), No. 3, March 2012, pp. 834-842.
IEEE DOI
1203
BibRef
Chen, S.[Sheng],
Suzuki, K.,
Separation of Bones From Chest Radiographs by Means of Anatomically
Specific Multiple Massive-Training ANNs Combined With Total Variation
Minimization Smoothing,
MedImg(33), No. 2, February 2014, pp. 246-257.
IEEE DOI
1403
bone
BibRef
Herrera, C.N.L.,
Vallejo, M.F.M.,
Mueller, J.L.,
Lima, R.G.,
Direct 2-D Reconstructions of Conductivity and Permittivity From EIT
Data on a Human Chest,
MedImg(34), No. 1, January 2015, pp. 267-274.
IEEE DOI
1502
bioelectric potentials
BibRef
Chen, T.,
Liu, J.,
Chao, P.,
Li, P.,
Ultrawideband Synthetic Aperture Radar for Respiratory Motion
Detection,
GeoRS(53), No. 7, July 2015, pp. 3749-3763.
IEEE DOI
1503
Apertures
BibRef
Oliveira, H.[Hugo],
Mota, V.[Virginia],
Machado, A.M.C.[Alexei M.C.],
dos Santos, J.A.[Jefersson A.],
From 3D to 2D: Transferring knowledge for rib segmentation in chest
X-rays,
PRL(140), 2020, pp. 10-17.
Elsevier DOI
2012
Chest X-rays, Deep domain adaptation, Rib segmentation,
Generative adversarial networks
BibRef
Huang, Y.J.,
Liu, W.,
Wang, X.,
Fang, Q.,
Wang, R.,
Wang, Y.,
Chen, H.,
Chen, H.,
Meng, D.,
Wang, L.,
Rectifying Supporting Regions With Mixed and Active Supervision for
Rib Fracture Recognition,
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IEEE DOI
2012
Cams, Ribs, X-ray imaging, Annotations, Image recognition, Training,
Supervised learning, Convolutional neural network~(CNN),
active learning~(AL)
BibRef
Cao, Z.[Zheng],
Xu, L.M.[Li-Ming],
Chen, D.Z.[Danny Z.],
Gao, H.H.[Hong-Hao],
Wu, J.[Jian],
A Robust Shape-Aware Rib Fracture Detection and Segmentation
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MultMed(25), 2023, pp. 1584-1591.
IEEE DOI
2305
Ribs, Computed tomography, Image segmentation, Task analysis,
Training, Deep learning, Computer-aided diagnosis,
shape-aware model
BibRef
Chen, S.[Sheng],
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WWW Link.
1302
BibRef
Vinhais, C.[Carlos],
Campilho, A.[Aurélio],
Ribcage Boundary Delineation in Chest X-ray Images,
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Springer DOI
0409
BibRef
Moreira, R.[Rui],
Mendonça, A.M.[Ana Maria],
Campilho, A.[Aurélio],
Detection of Rib Borders on X-ray Chest Radiographs,
ICIAR04(II: 108-115).
Springer DOI
0409
BibRef
Benjelloun, M.,
Teran, R.,
Visceral dynamic computing,
Southwest04(177-181).
IEEE DOI
0411
study motion in breathing.
BibRef
Sarkar, S.,
Chaudhuri, S.,
Detection of rib shadows in digital chest radiographs,
CIAP97(II: 356-363).
Springer DOI
9709
BibRef
Sullivan, B.J.,
Ansari, R.,
Giger, M.L.,
MacMahon, H.,
Effects of image preprocessing/resizing on diagnostic quality of
compressed medical images,
ICIP95(II: 13-16).
IEEE DOI
9510
BibRef
Earlier:
Relative effects of resolution and quantization on the quality of
compressed medical images,
ICIP94(II: 987-991).
IEEE DOI
9411
chest radiographs application
BibRef
Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Medical Applications -- Skeleton, Bone .