198 related articles for article (PubMed ID: 37533647)
1. MIA is an open-source standalone deep learning application for microscopic image analysis.
Körber N
Cell Rep Methods; 2023 Jul; 3(7):100517. PubMed ID: 37533647
[TBL] [Abstract][Full Text] [Related]
2. DeepMIB: User-friendly and open-source software for training of deep learning network for biological image segmentation.
Belevich I; Jokitalo E
PLoS Comput Biol; 2021 Mar; 17(3):e1008374. PubMed ID: 33651804
[TBL] [Abstract][Full Text] [Related]
3. DeepImageTranslator: A free, user-friendly graphical interface for image translation using deep-learning and its applications in 3D CT image analysis.
Ye RZ; Noll C; Richard G; Lepage M; Turcotte ÉE; Carpentier AC
SLAS Technol; 2022 Feb; 27(1):76-84. PubMed ID: 35058205
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. mEMbrain: an interactive deep learning MATLAB tool for connectomic segmentation on commodity desktops.
Pavarino EC; Yang E; Dhanyasi N; Wang MD; Bidel F; Lu X; Yang F; Francisco Park C; Bangalore Renuka M; Drescher B; Samuel ADT; Hochner B; Katz PS; Zhen M; Lichtman JW; Meirovitch Y
Front Neural Circuits; 2023; 17():952921. PubMed ID: 37396399
[TBL] [Abstract][Full Text] [Related]
6. Deep learning for cellular image analysis.
Moen E; Bannon D; Kudo T; Graf W; Covert M; Van Valen D
Nat Methods; 2019 Dec; 16(12):1233-1246. PubMed ID: 31133758
[TBL] [Abstract][Full Text] [Related]
7. AIMIC: Deep Learning for Microscopic Image Classification.
Liu R; Dai W; Wu T; Wang M; Wan S; Liu J
Comput Methods Programs Biomed; 2022 Nov; 226():107162. PubMed ID: 36209624
[TBL] [Abstract][Full Text] [Related]
8. Segmentation, tracking and cell cycle analysis of live-cell imaging data with Cell-ACDC.
Padovani F; Mairhörmann B; Falter-Braun P; Lengefeld J; Schmoller KM
BMC Biol; 2022 Aug; 20(1):174. PubMed ID: 35932043
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Artificial Intelligence and Cellular Segmentation in Tissue Microscopy Images.
Durkee MS; Abraham R; Clark MR; Giger ML
Am J Pathol; 2021 Oct; 191(10):1693-1701. PubMed ID: 34129842
[TBL] [Abstract][Full Text] [Related]
11. DeepImageJ: A user-friendly environment to run deep learning models in ImageJ.
Gómez-de-Mariscal E; García-López-de-Haro C; Ouyang W; Donati L; Lundberg E; Unser M; Muñoz-Barrutia A; Sage D
Nat Methods; 2021 Oct; 18(10):1192-1195. PubMed ID: 34594030
[TBL] [Abstract][Full Text] [Related]
12. AnatomySketch: An Extensible Open-Source Software Platform for Medical Image Analysis Algorithm Development.
Zhuang M; Chen Z; Wang H; Tang H; He J; Qin B; Yang Y; Jin X; Yu M; Jin B; Li T; Kettunen L
J Digit Imaging; 2022 Dec; 35(6):1623-1633. PubMed ID: 35768752
[TBL] [Abstract][Full Text] [Related]
13. AIDeveloper: Deep Learning Image Classification in Life Science and Beyond.
Kräter M; Abuhattum S; Soteriou D; Jacobi A; Krüger T; Guck J; Herbig M
Adv Sci (Weinh); 2021 Jun; 8(11):e2003743. PubMed ID: 34105281
[TBL] [Abstract][Full Text] [Related]
14. From pixels to insights: Machine learning and deep learning for bioimage analysis.
Jan M; Spangaro A; Lenartowicz M; Mattiazzi Usaj M
Bioessays; 2024 Feb; 46(2):e2300114. PubMed ID: 38058114
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Orbit Image Analysis: An open-source whole slide image analysis tool.
Stritt M; Stalder AK; Vezzali E
PLoS Comput Biol; 2020 Feb; 16(2):e1007313. PubMed ID: 32023239
[TBL] [Abstract][Full Text] [Related]
17. Open-source deep-learning software for bioimage segmentation.
Lucas AM; Ryder PV; Li B; Cimini BA; Eliceiri KW; Carpenter AE
Mol Biol Cell; 2021 Apr; 32(9):823-829. PubMed ID: 33872058
[TBL] [Abstract][Full Text] [Related]
18. JustDeepIt: Software tool with graphical and character user interfaces for deep learning-based object detection and segmentation in image analysis.
Sun J; Cao W; Yamanaka T
Front Plant Sci; 2022; 13():964058. PubMed ID: 36275541
[TBL] [Abstract][Full Text] [Related]
19. NuKit: A deep learning platform for fast nucleus segmentation of histopathological images.
Lin CN; Chung CH; Tan AC
J Bioinform Comput Biol; 2023 Feb; 21(1):2350002. PubMed ID: 36958934
[TBL] [Abstract][Full Text] [Related]
20. EPySeg: a coding-free solution for automated segmentation of epithelia using deep learning.
Aigouy B; Cortes C; Liu S; Prud'Homme B
Development; 2020 Dec; 147(24):. PubMed ID: 33268451
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]