148 related articles for article (PubMed ID: 34634444)
1. Yeast cell segmentation in microstructured environments with deep learning.
Prangemeier T; Wildner C; Françani AO; Reich C; Koeppl H
Biosystems; 2022 Jan; 211():104557. PubMed ID: 34634444
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Automated segmentation of cell organelles in volume electron microscopy using deep learning.
Nešić N; Heiligenstein X; Zopf L; Blüml V; Keuenhof KS; Wagner M; Höög JL; Qi H; Li Z; Tsaramirsis G; Peddie CJ; Stojmenović M; Walter A
Microsc Res Tech; 2024 Aug; 87(8):1718-1732. PubMed ID: 38501891
[TBL] [Abstract][Full Text] [Related]
4. Catheter segmentation in X-ray fluoroscopy using synthetic data and transfer learning with light U-nets.
Gherardini M; Mazomenos E; Menciassi A; Stoyanov D
Comput Methods Programs Biomed; 2020 Aug; 192():105420. PubMed ID: 32171151
[TBL] [Abstract][Full Text] [Related]
5. An Instance Segmentation Dataset of Yeast Cells in Microstructures.
Reich C; Prangemeier T; Francani AO; Koeppl H
Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38083295
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning.
Müller D; Kramer F
BMC Med Imaging; 2021 Jan; 21(1):12. PubMed ID: 33461500
[TBL] [Abstract][Full Text] [Related]
8. A deep learning-based segmentation pipeline for profiling cellular morphodynamics using multiple types of live cell microscopy.
Jang J; Wang C; Zhang X; Choi HJ; Pan X; Lin B; Yu Y; Whittle C; Ryan M; Chen Y; Lee K
Cell Rep Methods; 2021 Nov; 1(7):. PubMed ID: 34888542
[TBL] [Abstract][Full Text] [Related]
9. Three-stage segmentation of lung region from CT images using deep neural networks.
Osadebey M; Andersen HK; Waaler D; Fossaa K; Martinsen ACT; Pedersen M
BMC Med Imaging; 2021 Jul; 21(1):112. PubMed ID: 34266391
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. A comparative study of pre-trained convolutional neural networks for semantic segmentation of breast tumors in ultrasound.
Gómez-Flores W; Coelho de Albuquerque Pereira W
Comput Biol Med; 2020 Nov; 126():104036. PubMed ID: 33059238
[TBL] [Abstract][Full Text] [Related]
12. Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks.
Stember JN; Celik H; Krupinski E; Chang PD; Mutasa S; Wood BJ; Lignelli A; Moonis G; Schwartz LH; Jambawalikar S; Bagci U
J Digit Imaging; 2019 Aug; 32(4):597-604. PubMed ID: 31044392
[TBL] [Abstract][Full Text] [Related]
13. Efficient Deep Learning-based Wound-bed Segmentation For Mobile Applications.
Ong EP; Tang Ka Yin C; Lee BH
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1654-1657. PubMed ID: 33018313
[TBL] [Abstract][Full Text] [Related]
14. InstantDL: an easy-to-use deep learning pipeline for image segmentation and classification.
Waibel DJE; Shetab Boushehri S; Marr C
BMC Bioinformatics; 2021 Mar; 22(1):103. PubMed ID: 33653266
[TBL] [Abstract][Full Text] [Related]
15. Automatic improvement of deep learning-based cell segmentation in time-lapse microscopy by neural architecture search.
Zhu Y; Meijering E
Bioinformatics; 2021 Dec; 37(24):4844-4850. PubMed ID: 34329376
[TBL] [Abstract][Full Text] [Related]
16. Image generation by GAN and style transfer for agar plate image segmentation.
Andreini P; Bonechi S; Bianchini M; Mecocci A; Scarselli F
Comput Methods Programs Biomed; 2020 Feb; 184():105268. PubMed ID: 31891902
[TBL] [Abstract][Full Text] [Related]
17. NucleiSegNet: Robust deep learning architecture for the nuclei segmentation of liver cancer histopathology images.
Lal S; Das D; Alabhya K; Kanfade A; Kumar A; Kini J
Comput Biol Med; 2021 Jan; 128():104075. PubMed ID: 33190012
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. DeLTA 2.0: A deep learning pipeline for quantifying single-cell spatial and temporal dynamics.
O'Connor OM; Alnahhas RN; Lugagne JB; Dunlop MJ
PLoS Comput Biol; 2022 Jan; 18(1):e1009797. PubMed ID: 35041653
[TBL] [Abstract][Full Text] [Related]
20. DENSE-INception U-net for medical image segmentation.
Zhang Z; Wu C; Coleman S; Kerr D
Comput Methods Programs Biomed; 2020 Aug; 192():105395. PubMed ID: 32163817
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
