409 related articles for article (PubMed ID: 28294138)
21. A survey on deep learning in medical image analysis.
Litjens G; Kooi T; Bejnordi BE; Setio AAA; Ciompi F; Ghafoorian M; van der Laak JAWM; van Ginneken B; Sánchez CI
Med Image Anal; 2017 Dec; 42():60-88. PubMed ID: 28778026
[TBL] [Abstract][Full Text] [Related]
22. ESC-Track: A computer workflow for 4-D segmentation, tracking, lineage tracing and dynamic context analysis of ESCs.
Fernández-de-Manúel L; Díaz-Díaz C; Jiménez-Carretero D; Torres M; Montoya MC
Biotechniques; 2017 May; 62(5):215-222. PubMed ID: 28528574
[TBL] [Abstract][Full Text] [Related]
23. Deep Learning: A Primer for Radiologists.
Chartrand G; Cheng PM; Vorontsov E; Drozdzal M; Turcotte S; Pal CJ; Kadoury S; Tang A
Radiographics; 2017; 37(7):2113-2131. PubMed ID: 29131760
[TBL] [Abstract][Full Text] [Related]
24. Reinforcement learning in medical image analysis: Concepts, applications, challenges, and future directions.
Hu M; Zhang J; Matkovic L; Liu T; Yang X
J Appl Clin Med Phys; 2023 Feb; 24(2):e13898. PubMed ID: 36626026
[TBL] [Abstract][Full Text] [Related]
25. A robust algorithm for segmenting and tracking clustered cells in time-lapse fluorescent microscopy.
Tarnawski W; Kurtcuoglu V; Lorek P; Bodych M; Rotter J; Muszkieta M; Piwowar Ł; Poulikakos D; Majkowski M; Ferrari A
IEEE J Biomed Health Inform; 2013 Jul; 17(4):862-9. PubMed ID: 25055315
[TBL] [Abstract][Full Text] [Related]
26. Note: An automated image analysis method for high-throughput classification of surface-bound bacterial cell motions.
Shen S; Syal K; Tao N; Wang S
Rev Sci Instrum; 2015 Dec; 86(12):126104. PubMed ID: 26724085
[TBL] [Abstract][Full Text] [Related]
27. Data-analysis strategies for image-based cell profiling.
Caicedo JC; Cooper S; Heigwer F; Warchal S; Qiu P; Molnar C; Vasilevich AS; Barry JD; Bansal HS; Kraus O; Wawer M; Paavolainen L; Herrmann MD; Rohban M; Hung J; Hennig H; Concannon J; Smith I; Clemons PA; Singh S; Rees P; Horvath P; Linington RG; Carpenter AE
Nat Methods; 2017 Aug; 14(9):849-863. PubMed ID: 28858338
[TBL] [Abstract][Full Text] [Related]
28. An improved joint optimization of multiple level set functions for the segmentation of overlapping cervical cells.
Zhi Lu ; Carneiro G; Bradley AP
IEEE Trans Image Process; 2015 Apr; 24(4):1261-72. PubMed ID: 25585419
[TBL] [Abstract][Full Text] [Related]
29. Unsupervised lineage-based characterization of primate precursors reveals high proliferative and morphological diversity in the OSVZ.
Pfeiffer M; Betizeau M; Waltispurger J; Pfister SS; Douglas RJ; Kennedy H; Dehay C
J Comp Neurol; 2016 Feb; 524(3):535-63. PubMed ID: 26053631
[TBL] [Abstract][Full Text] [Related]
30. Software tools for single-cell tracking and quantification of cellular and molecular properties.
Hilsenbeck O; Schwarzfischer M; Skylaki S; Schauberger B; Hoppe PS; Loeffler D; Kokkaliaris KD; Hastreiter S; Skylaki E; Filipczyk A; Strasser M; Buggenthin F; Feigelman JS; Krumsiek J; van den Berg AJ; Endele M; Etzrodt M; Marr C; Theis FJ; Schroeder T
Nat Biotechnol; 2016 Jul; 34(7):703-6. PubMed ID: 27404877
[No Abstract] [Full Text] [Related]
31. What machine learning can do for developmental biology.
Villoutreix P
Development; 2021 Jan; 148(1):. PubMed ID: 33431591
[TBL] [Abstract][Full Text] [Related]
32. Quantitative neuronal morphometry by supervised and unsupervised learning.
Bijari K; Valera G; López-Schier H; Ascoli GA
STAR Protoc; 2021 Dec; 2(4):100867. PubMed ID: 34647039
[TBL] [Abstract][Full Text] [Related]
33. Interactive Cell Segmentation Based on Active and Semi-Supervised Learning.
Su H; Yin Z; Huh S; Kanade T; Zhu J
IEEE Trans Med Imaging; 2016 Mar; 35(3):762-77. PubMed ID: 26529749
[TBL] [Abstract][Full Text] [Related]
34. Automatic tracking of labeled red blood cells in microchannels.
Pinho D; Lima R; Pereira AI; Gayubo F
Int J Numer Method Biomed Eng; 2013 Sep; 29(9):977-87. PubMed ID: 23345054
[TBL] [Abstract][Full Text] [Related]
35. A two-layer structure prediction framework for microscopy cell detection.
Xu Y; Wu W; Chang EI; Chen D; Mu J; Lee PP; Blenman KR; Tu Z
Comput Med Imaging Graph; 2015 Apr; 41():29-36. PubMed ID: 25082065
[TBL] [Abstract][Full Text] [Related]
36. Advanced Cell Classifier: User-Friendly Machine-Learning-Based Software for Discovering Phenotypes in High-Content Imaging Data.
Piccinini F; Balassa T; Szkalisity A; Molnar C; Paavolainen L; Kujala K; Buzas K; Sarazova M; Pietiainen V; Kutay U; Smith K; Horvath P
Cell Syst; 2017 Jun; 4(6):651-655.e5. PubMed ID: 28647475
[TBL] [Abstract][Full Text] [Related]
37. Automated Microscopy Image Segmentation and Analysis with Machine Learning.
Bilodeau A; Bouchard C; Lavoie-Cardinal F
Methods Mol Biol; 2022; 2440():349-365. PubMed ID: 35218549
[TBL] [Abstract][Full Text] [Related]
38. Supervised and unsupervised algorithms for bioinformatics and data science.
Sohail A; Arif F
Prog Biophys Mol Biol; 2020 Mar; 151():14-22. PubMed ID: 31816343
[TBL] [Abstract][Full Text] [Related]
39. Segmenting and Tracking Multiple Dividing Targets Using ilastik.
Haubold C; Schiegg M; Kreshuk A; Berg S; Koethe U; Hamprecht FA
Adv Anat Embryol Cell Biol; 2016; 219():199-229. PubMed ID: 27207368
[TBL] [Abstract][Full Text] [Related]
40. Unsupervised Learning for Cell-Level Visual Representation in Histopathology Images With Generative Adversarial Networks.
Hu B; Tang Y; Chang EI; Fan Y; Lai M; Xu Y
IEEE J Biomed Health Inform; 2019 May; 23(3):1316-1328. PubMed ID: 29994411
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]