169 related articles for article (PubMed ID: 28246039)
21. Using deep learning to segment breast and fibroglandular tissue in MRI volumes.
Dalmış MU; Litjens G; Holland K; Setio A; Mann R; Karssemeijer N; Gubern-Mérida A
Med Phys; 2017 Feb; 44(2):533-546. PubMed ID: 28035663
[TBL] [Abstract][Full Text] [Related]
22. Finding Nano-Ötzi: Cryo-Electron Tomography Visualization Guided by Learned Segmentation.
Nguyen N; Bohak C; Engel D; Mindek P; Strnad O; Wonka P; Li S; Ropinski T; Viola I
IEEE Trans Vis Comput Graph; 2023 Oct; 29(10):4198-4214. PubMed ID: 35749328
[TBL] [Abstract][Full Text] [Related]
23. Fully automatic volume segmentation of infrarenal abdominal aortic aneurysm computed tomography images with deep learning approaches versus physician controlled manual segmentation.
Caradu C; Spampinato B; Vrancianu AM; Bérard X; Ducasse E
J Vasc Surg; 2021 Jul; 74(1):246-256.e6. PubMed ID: 33309556
[TBL] [Abstract][Full Text] [Related]
24. Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.
Chaitanya K; Erdil E; Karani N; Konukoglu E
Med Image Anal; 2023 Jul; 87():102792. PubMed ID: 37054649
[TBL] [Abstract][Full Text] [Related]
25. SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation.
You C; Zhou Y; Zhao R; Staib L; Duncan JS
IEEE Trans Med Imaging; 2022 Sep; 41(9):2228-2237. PubMed ID: 35320095
[TBL] [Abstract][Full Text] [Related]
26. Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation.
Wang B; Lei Y; Tian S; Wang T; Liu Y; Patel P; Jani AB; Mao H; Curran WJ; Liu T; Yang X
Med Phys; 2019 Apr; 46(4):1707-1718. PubMed ID: 30702759
[TBL] [Abstract][Full Text] [Related]
27. AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy.
Zhu W; Huang Y; Zeng L; Chen X; Liu Y; Qian Z; Du N; Fan W; Xie X
Med Phys; 2019 Feb; 46(2):576-589. PubMed ID: 30480818
[TBL] [Abstract][Full Text] [Related]
28. A technique for semiautomatic segmentation of echogenic structures in 3D ultrasound, applied to infant hip dysplasia.
Hareendranathan AR; Mabee M; Punithakumar K; Noga M; Jaremko JL
Int J Comput Assist Radiol Surg; 2016 Jan; 11(1):31-42. PubMed ID: 26092660
[TBL] [Abstract][Full Text] [Related]
29. mEMbrain: an interactive deep learning MATLAB tool for connectomic segmentation on commodity desktops.
Pavarino EC; Yang E; Dhanyasi N; Wang M; Bidel F; Lu X; Yang F; Park CF; Renuka MB; Drescher B; Samuel ADT; Hochner B; Katz PS; Zhen M; Lichtman JW; Meirovitch Y
bioRxiv; 2023 Apr; ():. PubMed ID: 37131600
[TBL] [Abstract][Full Text] [Related]
30. Automatic segmentation of airway tree based on local intensity filter and machine learning technique in 3D chest CT volume.
Meng Q; Kitasaka T; Nimura Y; Oda M; Ueno J; Mori K
Int J Comput Assist Radiol Surg; 2017 Feb; 12(2):245-261. PubMed ID: 27796791
[TBL] [Abstract][Full Text] [Related]
31. Domain adaptation for microscopy imaging.
Becker C; Christoudias CM; Fua P
IEEE Trans Med Imaging; 2015 May; 34(5):1125-39. PubMed ID: 25474809
[TBL] [Abstract][Full Text] [Related]
32. An investigation of the effect of fat suppression and dimensionality on the accuracy of breast MRI segmentation using U-nets.
Fashandi H; Kuling G; Lu Y; Wu H; Martel AL
Med Phys; 2019 Mar; 46(3):1230-1244. PubMed ID: 30609062
[TBL] [Abstract][Full Text] [Related]
33. A convolutional neural network for segmentation of yeast cells without manual training annotations.
Kruitbosch HT; Mzayek Y; Omlor S; Guerra P; Milias-Argeitis A
Bioinformatics; 2022 Feb; 38(5):1427-1433. PubMed ID: 34893817
[TBL] [Abstract][Full Text] [Related]
34. Unsupervised domain adaptation method for segmenting cross-sectional CCA images.
van Knippenberg L; van Sloun RJG; Mischi M; de Ruijter J; Lopata R; Bouwman RA
Comput Methods Programs Biomed; 2022 Oct; 225():107037. PubMed ID: 35907375
[TBL] [Abstract][Full Text] [Related]
35. Automatic segmentation of thoracic and pelvic CT images for radiotherapy planning using implicit anatomic knowledge and organ-specific segmentation strategies.
Haas B; Coradi T; Scholz M; Kunz P; Huber M; Oppitz U; André L; Lengkeek V; Huyskens D; van Esch A; Reddick R
Phys Med Biol; 2008 Mar; 53(6):1751-71. PubMed ID: 18367801
[TBL] [Abstract][Full Text] [Related]
36. Comparison of 3 methods of automated internal carotid segmentation in human brain PET studies: application to the estimation of arterial input function.
Zanotti-Fregonara P; Maroy R; Comtat C; Jan S; Gaura V; Bar-Hen A; Ribeiro MJ; Trébossen R
J Nucl Med; 2009 Mar; 50(3):461-7. PubMed ID: 19223421
[TBL] [Abstract][Full Text] [Related]
37. Iterative multi-path tracking for video and volume segmentation with sparse point supervision.
Lejeune L; Grossrieder J; Sznitman R
Med Image Anal; 2018 Dec; 50():65-81. PubMed ID: 30212738
[TBL] [Abstract][Full Text] [Related]
38. MTANS: Multi-Scale Mean Teacher Combined Adversarial Network with Shape-Aware Embedding for Semi-Supervised Brain Lesion Segmentation.
Chen G; Ru J; Zhou Y; Rekik I; Pan Z; Liu X; Lin Y; Lu B; Shi J
Neuroimage; 2021 Dec; 244():118568. PubMed ID: 34508895
[TBL] [Abstract][Full Text] [Related]
39. Structured patch model for a unified automatic and interactive segmentation framework.
Park SH; Lee S; Yun ID; Lee SU
Med Image Anal; 2015 Aug; 24(1):297-312. PubMed ID: 25682219
[TBL] [Abstract][Full Text] [Related]
40. Semi-automated infarct segmentation from follow-up noncontrast CT scans in patients with acute ischemic stroke.
Kuang H; Menon BK; Qiu W
Med Phys; 2019 Sep; 46(9):4037-4045. PubMed ID: 31286534
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
