143 related articles for article (PubMed ID: 33285356)
1. Detecting cells in intravital video microscopy using a deep convolutional neural network.
Gregório da Silva BC; Tam R; Ferrari RJ
Comput Biol Med; 2021 Feb; 129():104133. PubMed ID: 33285356
[TBL] [Abstract][Full Text] [Related]
2. Human peripheral blood leukocyte classification method based on convolutional neural network and data augmentation.
Wang Y; Cao Y
Med Phys; 2020 Jan; 47(1):142-151. PubMed ID: 31691975
[TBL] [Abstract][Full Text] [Related]
3. Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks.
Ribalta Lorenzo P; Nalepa J; Bobek-Billewicz B; Wawrzyniak P; Mrukwa G; Kawulok M; Ulrych P; Hayball MP
Comput Methods Programs Biomed; 2019 Jul; 176():135-148. PubMed ID: 31200901
[TBL] [Abstract][Full Text] [Related]
4. A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images.
Pang S; Yu Z; Orgun MA
Comput Methods Programs Biomed; 2017 Mar; 140():283-293. PubMed ID: 28254085
[TBL] [Abstract][Full Text] [Related]
5. MRI Gibbs-ringing artifact reduction by means of machine learning using convolutional neural networks.
Zhang Q; Ruan G; Yang W; Liu Y; Zhao K; Feng Q; Chen W; Wu EX; Feng Y
Magn Reson Med; 2019 Dec; 82(6):2133-2145. PubMed ID: 31373061
[TBL] [Abstract][Full Text] [Related]
6. Analysis of the Nosema Cells Identification for Microscopic Images.
Dghim S; Travieso-González CM; Burget R
Sensors (Basel); 2021 Apr; 21(9):. PubMed ID: 33924940
[TBL] [Abstract][Full Text] [Related]
7. Assessment of Automated Identification of Phases in Videos of Cataract Surgery Using Machine Learning and Deep Learning Techniques.
Yu F; Silva Croso G; Kim TS; Song Z; Parker F; Hager GD; Reiter A; Vedula SS; Ali H; Sikder S
JAMA Netw Open; 2019 Apr; 2(4):e191860. PubMed ID: 30951163
[TBL] [Abstract][Full Text] [Related]
8. Automatic identification of crossovers in cryo-EM images of murine amyloid protein A fibrils with machine learning.
Weber M; Bäuerle A; Schmidt M; Neumann M; Fändrich M; Ropinski T; Schmidt V
J Microsc; 2020 Jan; 277(1):12-22. PubMed ID: 31859366
[TBL] [Abstract][Full Text] [Related]
9. Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry.
Hasan MK; Calvet L; Rabbani N; Bartoli A
Med Image Anal; 2021 May; 70():101994. PubMed ID: 33611053
[TBL] [Abstract][Full Text] [Related]
10. Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography.
Samala RK; Chan HP; Hadjiiski L; Helvie MA; Wei J; Cha K
Med Phys; 2016 Dec; 43(12):6654. PubMed ID: 27908154
[TBL] [Abstract][Full Text] [Related]
11. White blood cells detection and classification based on regional convolutional neural networks.
Kutlu H; Avci E; Özyurt F
Med Hypotheses; 2020 Feb; 135():109472. PubMed ID: 31760248
[TBL] [Abstract][Full Text] [Related]
12. Automated Training of Deep Convolutional Neural Networks for Cell Segmentation.
Sadanandan SK; Ranefall P; Le Guyader S; Wählby C
Sci Rep; 2017 Aug; 7(1):7860. PubMed ID: 28798336
[TBL] [Abstract][Full Text] [Related]
13. Development and qualification of a machine learning algorithm for automated hair counting.
Sacha JP; Caterino TL; Fisher BK; Carr GJ; Youngquist RS; D'Alessandro BM; Melione A; Canfield D; Bergfeld WF; Piliang MP; Kainkaryam R; Davis MG
Int J Cosmet Sci; 2021 Nov; 43 Suppl 1():S34-S41. PubMed ID: 34426987
[TBL] [Abstract][Full Text] [Related]
14. Network Accelerated Motion Estimation and Reduction (NAMER): Convolutional neural network guided retrospective motion correction using a separable motion model.
Haskell MW; Cauley SF; Bilgic B; Hossbach J; Splitthoff DN; Pfeuffer J; Setsompop K; Wald LL
Magn Reson Med; 2019 Oct; 82(4):1452-1461. PubMed ID: 31045278
[TBL] [Abstract][Full Text] [Related]
15. Skeletal bone age prediction based on a deep residual network with spatial transformer.
Han Y; Wang G
Comput Methods Programs Biomed; 2020 Dec; 197():105754. PubMed ID: 32957059
[TBL] [Abstract][Full Text] [Related]
16. AtomVision: A Machine Vision Library for Atomistic Images.
Choudhary K; Gurunathan R; DeCost B; Biacchi A
J Chem Inf Model; 2023 Mar; 63(6):1708-1722. PubMed ID: 36857727
[TBL] [Abstract][Full Text] [Related]
17. Weakly supervised mitosis detection in breast histopathology images using concentric loss.
Li C; Wang X; Liu W; Latecki LJ; Wang B; Huang J
Med Image Anal; 2019 Apr; 53():165-178. PubMed ID: 30798116
[TBL] [Abstract][Full Text] [Related]
18. Practical method of cell segmentation in electron microscope image stack using deep convolutional neural network☆.
Konishi K; Mimura M; Nonaka T; Sase I; Nishioka H; Suga M
Microscopy (Oxf); 2019 Aug; 68(4):338-341. PubMed ID: 31220299
[TBL] [Abstract][Full Text] [Related]
19. Transfer learning for classification of cardiovascular tissues in histological images.
Mazo C; Bernal J; Trujillo M; Alegre E
Comput Methods Programs Biomed; 2018 Oct; 165():69-76. PubMed ID: 30337082
[TBL] [Abstract][Full Text] [Related]
20. Unsupervised learning of a deep neural network for metal artifact correction using dual-polarity readout gradients.
Kwon K; Kim D; Kim B; Park H
Magn Reson Med; 2020 Jan; 83(1):124-138. PubMed ID: 31403219
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
