158 related articles for article (PubMed ID: 34288972)
1. Automatic cell counting from stimulated Raman imaging using deep learning.
Zhang Q; Yun KK; Wang H; Yoon SW; Lu F; Won D
PLoS One; 2021; 16(7):e0254586. PubMed ID: 34288972
[TBL] [Abstract][Full Text] [Related]
2. Fast Real-Time Brain Tumor Detection Based on Stimulated Raman Histology and Self-Supervised Deep Learning Model.
Wang Z; Han K; Liu W; Wang Z; Shi C; Liu X; Huang M; Sun G; Liu S; Guo Q
J Imaging Inform Med; 2024 Jun; 37(3):1160-1176. PubMed ID: 38326533
[TBL] [Abstract][Full Text] [Related]
3. Label-free DNA imaging in vivo with stimulated Raman scattering microscopy.
Lu FK; Basu S; Igras V; Hoang MP; Ji M; Fu D; Holtom GR; Neel VA; Freudiger CW; Fisher DE; Xie XS
Proc Natl Acad Sci U S A; 2015 Sep; 112(37):11624-9. PubMed ID: 26324899
[TBL] [Abstract][Full Text] [Related]
4. Histological diagnosis of unprocessed breast core-needle biopsy via stimulated Raman scattering microscopy and multi-instance learning.
Yang Y; Liu Z; Huang J; Sun X; Ao J; Zheng B; Chen W; Shao Z; Hu H; Yang Y; Ji M
Theranostics; 2023; 13(4):1342-1354. PubMed ID: 36923541
[TBL] [Abstract][Full Text] [Related]
5. Rapid histology of laryngeal squamous cell carcinoma with deep-learning based stimulated Raman scattering microscopy.
Zhang L; Wu Y; Zheng B; Su L; Chen Y; Ma S; Hu Q; Zou X; Yao L; Yang Y; Chen L; Mao Y; Chen Y; Ji M
Theranostics; 2019; 9(9):2541-2554. PubMed ID: 31131052
[TBL] [Abstract][Full Text] [Related]
6. Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks.
Hollon TC; Pandian B; Adapa AR; Urias E; Save AV; Khalsa SSS; Eichberg DG; D'Amico RS; Farooq ZU; Lewis S; Petridis PD; Marie T; Shah AH; Garton HJL; Maher CO; Heth JA; McKean EL; Sullivan SE; Hervey-Jumper SL; Patil PG; Thompson BG; Sagher O; McKhann GM; Komotar RJ; Ivan ME; Snuderl M; Otten ML; Johnson TD; Sisti MB; Bruce JN; Muraszko KM; Trautman J; Freudiger CW; Canoll P; Lee H; Camelo-Piragua S; Orringer DA
Nat Med; 2020 Jan; 26(1):52-58. PubMed ID: 31907460
[TBL] [Abstract][Full Text] [Related]
7. Label-free brain tumor imaging using Raman-based methods.
Hollon T; Orringer DA
J Neurooncol; 2021 Feb; 151(3):393-402. PubMed ID: 33611706
[TBL] [Abstract][Full Text] [Related]
8. Mapping the Intratumoral Heterogeneity in Glioblastomas with Hyperspectral Stimulated Raman Scattering Microscopy.
Bae K; Xin L; Zheng W; Tang C; Ang BT; Huang Z
Anal Chem; 2021 Feb; 93(4):2377-2384. PubMed ID: 33443405
[TBL] [Abstract][Full Text] [Related]
9. Detection of human brain tumor infiltration with quantitative stimulated Raman scattering microscopy.
Ji M; Lewis S; Camelo-Piragua S; Ramkissoon SH; Snuderl M; Venneti S; Fisher-Hubbard A; Garrard M; Fu D; Wang AC; Heth JA; Maher CO; Sanai N; Johnson TD; Freudiger CW; Sagher O; Xie XS; Orringer DA
Sci Transl Med; 2015 Oct; 7(309):309ra163. PubMed ID: 26468325
[TBL] [Abstract][Full Text] [Related]
10. Automatic cell counting for phase-contrast microscopic images based on a combination of Otsu and watershed segmentation method.
Lin Y; Diao Y; Du Y; Zhang J; Li L; Liu P
Microsc Res Tech; 2022 Jan; 85(1):169-180. PubMed ID: 34369634
[TBL] [Abstract][Full Text] [Related]
11. Rapid, label-free detection of brain tumors with stimulated Raman scattering microscopy.
Ji M; Orringer DA; Freudiger CW; Ramkissoon S; Liu X; Lau D; Golby AJ; Norton I; Hayashi M; Agar NY; Young GS; Spino C; Santagata S; Camelo-Piragua S; Ligon KL; Sagher O; Xie XS
Sci Transl Med; 2013 Sep; 5(201):201ra119. PubMed ID: 24005159
[TBL] [Abstract][Full Text] [Related]
12. DeepSeg: deep neural network framework for automatic brain tumor segmentation using magnetic resonance FLAIR images.
Zeineldin RA; Karar ME; Coburger J; Wirtz CR; Burgert O
Int J Comput Assist Radiol Surg; 2020 Jun; 15(6):909-920. PubMed ID: 32372386
[TBL] [Abstract][Full Text] [Related]
13. Label-Free Neurosurgical Pathology with Stimulated Raman Imaging.
Lu FK; Calligaris D; Olubiyi OI; Norton I; Yang W; Santagata S; Xie XS; Golby AJ; Agar NY
Cancer Res; 2016 Jun; 76(12):3451-62. PubMed ID: 27197198
[TBL] [Abstract][Full Text] [Related]
14. Fully Automatic Brain Tumor Segmentation using End-To-End Incremental Deep Neural Networks in MRI images.
Naceur MB; Saouli R; Akil M; Kachouri R
Comput Methods Programs Biomed; 2018 Nov; 166():39-49. PubMed ID: 30415717
[TBL] [Abstract][Full Text] [Related]
15. Deep learning-based automatic segmentation of images in cardiac radiography: A promising challenge.
Song Y; Ren S; Lu Y; Fu X; Wong KKL
Comput Methods Programs Biomed; 2022 Jun; 220():106821. PubMed ID: 35487181
[TBL] [Abstract][Full Text] [Related]
16. Nerve Segmentation with Deep Learning from Label-Free Endoscopic Images Obtained Using Coherent Anti-Stokes Raman Scattering.
Yamato N; Matsuya M; Niioka H; Miyake J; Hashimoto M
Biomolecules; 2020 Jul; 10(7):. PubMed ID: 32650539
[TBL] [Abstract][Full Text] [Related]
17. An Effective Deep Learning Framework for Cell Segmentation in Microscopy Images.
Lin S; Norouzi N
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3201-3204. PubMed ID: 34891922
[TBL] [Abstract][Full Text] [Related]
18. Multi-Scale deep learning framework for cochlea localization, segmentation and analysis on clinical ultra-high-resolution CT images.
Heutink F; Koch V; Verbist B; van der Woude WJ; Mylanus E; Huinck W; Sechopoulos I; Caballo M
Comput Methods Programs Biomed; 2020 Jul; 191():105387. PubMed ID: 32109685
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation.
Ottom MA; Rahman HA; Dinov ID
IEEE J Transl Eng Health Med; 2022; 10():1800508. PubMed ID: 35774412
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
