127 related articles for article (PubMed ID: 38773203)
1. Svetlana a supervised segmentation classifier for Napari.
Cazorla C; Morin R; Weiss P
Sci Rep; 2024 May; 14(1):11604. PubMed ID: 38773203
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data.
Lalit M; Tomancak P; Jug F
Med Image Anal; 2022 Oct; 81():102523. PubMed ID: 35926335
[TBL] [Abstract][Full Text] [Related]
4. Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks.
Burton W; Myers C; Rullkoetter P
Comput Methods Programs Biomed; 2020 Jun; 189():105328. PubMed ID: 31958580
[TBL] [Abstract][Full Text] [Related]
5. Bi-channel image registration and deep-learning segmentation (BIRDS) for efficient, versatile 3D mapping of mouse brain.
Wang X; Zeng W; Yang X; Zhang Y; Fang C; Zeng S; Han Y; Fei P
Elife; 2021 Jan; 10():. PubMed ID: 33459255
[TBL] [Abstract][Full Text] [Related]
6. Airway Cells 3D Reconstruction via Manual and Machine-Learning Aided Segmentation of Volume EM Datasets.
Vijayakumaran A; Abuammar A; Medagedara O; Narayan K; Mennella V
Methods Mol Biol; 2024; 2725():131-146. PubMed ID: 37856022
[TBL] [Abstract][Full Text] [Related]
7. Introducing Biomedisa as an open-source online platform for biomedical image segmentation.
Lösel PD; van de Kamp T; Jayme A; Ershov A; Faragó T; Pichler O; Tan Jerome N; Aadepu N; Bremer S; Chilingaryan SA; Heethoff M; Kopmann A; Odar J; Schmelzle S; Zuber M; Wittbrodt J; Baumbach T; Heuveline V
Nat Commun; 2020 Nov; 11(1):5577. PubMed ID: 33149150
[TBL] [Abstract][Full Text] [Related]
8. Fully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs), and a multi-atlas (MA) approach.
Lavdas I; Glocker B; Kamnitsas K; Rueckert D; Mair H; Sandhu A; Taylor SA; Aboagye EO; Rockall AG
Med Phys; 2017 Oct; 44(10):5210-5220. PubMed ID: 28756622
[TBL] [Abstract][Full Text] [Related]
9. Automatic segmentation of ventricular volume by 3D ultrasonography in post haemorrhagic ventricular dilatation among preterm infants.
Gontard LC; Pizarro J; Sanz-Peña B; Lubián López SP; Benavente-Fernández I
Sci Rep; 2021 Jan; 11(1):567. PubMed ID: 33436974
[TBL] [Abstract][Full Text] [Related]
10. Identification and Diagnosis of Cerebral Stroke through Deep Convolutional Neural Network-Based Multimodal MRI Images.
Pan Y; Zhang H; Yang J; Guo J; Yang Z; Wang J; Song G
Contrast Media Mol Imaging; 2021; 2021():7598613. PubMed ID: 34381322
[TBL] [Abstract][Full Text] [Related]
11. Polymorph segmentation representation for medical image computing.
Pinter C; Lasso A; Fichtinger G
Comput Methods Programs Biomed; 2019 Apr; 171():19-26. PubMed ID: 30902247
[TBL] [Abstract][Full Text] [Related]
12. Femoral image segmentation based on two-stage convolutional network using 3D-DMFNet and 3D-ResUnet.
Zhang X; Zheng Y; Bai X; Cai L; Wang L; Wu S; Ke Q; Huang J
Comput Methods Programs Biomed; 2022 Nov; 226():107110. PubMed ID: 36167001
[TBL] [Abstract][Full Text] [Related]
13. Automatic CT image segmentation of maxillary sinus based on VGG network and improved V-Net.
Xu J; Wang S; Zhou Z; Liu J; Jiang X; Chen X
Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1457-1465. PubMed ID: 32676871
[TBL] [Abstract][Full Text] [Related]
14. Evolutionary Deep Attention Convolutional Neural Networks for 2D and 3D Medical Image Segmentation.
Hassanzadeh T; Essam D; Sarker R
J Digit Imaging; 2021 Dec; 34(6):1387-1404. PubMed ID: 34729668
[TBL] [Abstract][Full Text] [Related]
15. Label-free cell segmentation of diverse lymphoid tissues in 2D and 3D.
Wills JW; Robertson J; Tourlomousis P; Gillis CMC; Barnes CM; Miniter M; Hewitt RE; Bryant CE; Summers HD; Powell JJ; Rees P
Cell Rep Methods; 2023 Feb; 3(2):100398. PubMed ID: 36936072
[TBL] [Abstract][Full Text] [Related]
16. Fully Automatic initialization and segmentation of left and right ventricles for large-scale cardiac MRI using a deeply supervised network and 3D-ASM.
Hu H; Pan N; Frangi AF
Comput Methods Programs Biomed; 2023 Oct; 240():107679. PubMed ID: 37364366
[TBL] [Abstract][Full Text] [Related]
17. Liver tumor segmentation based on 3D convolutional neural network with dual scale.
Meng L; Tian Y; Bu S
J Appl Clin Med Phys; 2020 Jan; 21(1):144-157. PubMed ID: 31793212
[TBL] [Abstract][Full Text] [Related]
18. Cross-dimensional transfer learning in medical image segmentation with deep learning.
Messaoudi H; Belaid A; Ben Salem D; Conze PH
Med Image Anal; 2023 Aug; 88():102868. PubMed ID: 37384952
[TBL] [Abstract][Full Text] [Related]
19. FitEllipsoid: a fast supervised ellipsoid segmentation plugin.
Kovac B; Fehrenbach J; Guillaume L; Weiss P
BMC Bioinformatics; 2019 Mar; 20(1):142. PubMed ID: 30876406
[TBL] [Abstract][Full Text] [Related]
20. An Efficient Deep Neural Network to Classify Large 3D Images With Small Objects.
Park J; Chledowski J; Jastrzebski S; Witowski J; Xu Y; Du L; Gaddam S; Kim E; Lewin A; Parikh U; Plaunova A; Chen S; Millet A; Park J; Pysarenko K; Patel S; Goldberg J; Wegener M; Moy L; Heacock L; Reig B; Geras KJ
IEEE Trans Med Imaging; 2024 Jan; 43(1):351-365. PubMed ID: 37590109
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
