136 related articles for article (PubMed ID: 34843603)
1. Object detection for automatic cancer cell counting in zebrafish xenografts.
Albuquerque C; Vanneschi L; Henriques R; Castelli M; Póvoa V; Fior R; Papanikolaou N
PLoS One; 2021; 16(11):e0260609. PubMed ID: 34843603
[TBL] [Abstract][Full Text] [Related]
2. Comparison of two automatic cell-counting solutions for fluorescent microscopic images.
Lojk J; Čibej U; Karlaš D; Šajn L; Pavlin M
J Microsc; 2015 Oct; 260(1):107-16. PubMed ID: 26098834
[TBL] [Abstract][Full Text] [Related]
3. Nuclear-labeling index analysis (NLIA), a software package used to perform accurate automation of cell nuclear-labeling index analysis on immunohistochemically stained rat liver samples.
Xu YH; Sattler GL; Edwards H; Pitot HC
Comput Methods Programs Biomed; 2000 Aug; 63(1):55-70. PubMed ID: 10927155
[TBL] [Abstract][Full Text] [Related]
4. Object recognition in medical images via anatomy-guided deep learning.
Jin C; Udupa JK; Zhao L; Tong Y; Odhner D; Pednekar G; Nag S; Lewis S; Poole N; Mannikeri S; Govindasamy S; Singh A; Camaratta J; Owens S; Torigian DA
Med Image Anal; 2022 Oct; 81():102527. PubMed ID: 35830745
[TBL] [Abstract][Full Text] [Related]
5. Automated Counting of Cancer Cells by Ensembling Deep Features.
Liu Q; Junker A; Murakami K; Hu P
Cells; 2019 Sep; 8(9):. PubMed ID: 31480740
[TBL] [Abstract][Full Text] [Related]
6. Automatic detection of A-line in lung ultrasound images using deep learning and image processing.
Xing W; Li G; He C; Huang Q; Cui X; Li Q; Li W; Chen J; Ta D
Med Phys; 2023 Jan; 50(1):330-343. PubMed ID: 35950481
[TBL] [Abstract][Full Text] [Related]
7. MaskID: An effective deep-learning-based algorithm for dense rebar counting.
Li W; Cheng J; Chen B; Xue Y; Wang Y; Fu Y; Zhou J; Chen D
PLoS One; 2023; 18(1):e0271051. PubMed ID: 36701317
[TBL] [Abstract][Full Text] [Related]
8. DeepCAN: A Modular Deep Learning System for Automated Cell Counting and Viability Analysis.
Eren F; Aslan M; Kanarya D; Uysalli Y; Aydin M; Kiraz B; Aydin O; Kiraz A
IEEE J Biomed Health Inform; 2022 Nov; 26(11):5575-5583. PubMed ID: 36054399
[TBL] [Abstract][Full Text] [Related]
9. Recognizing and counting Dendrocephalus brasiliensis (Crustacea: Anostraca) cysts using deep learning.
Astolfi ACMN; Astolfi G; Ferreira MGA; Centurião TD; Clemente LZ; de Oliveira BLMC; Porto JVA; Roche KF; Matsubara ET; Pistori H; Soares MP; da Silva WM
PLoS One; 2021; 16(3):e0248574. PubMed ID: 33735277
[TBL] [Abstract][Full Text] [Related]
10. ACCT is a fast and accessible automatic cell counting tool using machine learning for 2D image segmentation.
Kataras TJ; Jang TJ; Koury J; Singh H; Fok D; Kaul M
Sci Rep; 2023 May; 13(1):8213. PubMed ID: 37217558
[TBL] [Abstract][Full Text] [Related]
11. An improved faster R-CNN algorithm for assisted detection of lung nodules.
Xu J; Ren H; Cai S; Zhang X
Comput Biol Med; 2023 Feb; 153():106470. PubMed ID: 36587571
[TBL] [Abstract][Full Text] [Related]
12. Automatic cell counting with ImageJ.
Grishagin IV
Anal Biochem; 2015 Mar; 473():63-5. PubMed ID: 25542972
[TBL] [Abstract][Full Text] [Related]
13. Automatic ground truth for deep learning stereology of immunostained neurons and microglia in mouse neocortex.
Ahmady Phoulady H; Goldgof D; Hall LO; Mouton PR
J Chem Neuroanat; 2019 Jul; 98():1-7. PubMed ID: 30836126
[TBL] [Abstract][Full Text] [Related]
14. Automated Cell Counts on Tissue Sections by Deep Learning and Unbiased Stereology.
Alahmari SS; Goldgof D; Hall L; Phoulady HA; Patel RH; Mouton PR
J Chem Neuroanat; 2019 Mar; 96():94-101. PubMed ID: 30594529
[TBL] [Abstract][Full Text] [Related]
15. Automating cell detection and classification in human brain fluorescent microscopy images using dictionary learning and sparse coding.
Alegro M; Theofilas P; Nguy A; Castruita PA; Seeley W; Heinsen H; Ushizima DM; Grinberg LT
J Neurosci Methods; 2017 Apr; 282():20-33. PubMed ID: 28267565
[TBL] [Abstract][Full Text] [Related]
16. A disector-based framework for the automatic optical fractionator.
Dave P; Goldgof D; Hall LO; Kolinko Y; Allen K; Alahmari S; Mouton PR
J Chem Neuroanat; 2022 Oct; 124():102134. PubMed ID: 35839940
[TBL] [Abstract][Full Text] [Related]
17. 3cDe-Net: a cervical cancer cell detection network based on an improved backbone network and multiscale feature fusion.
Wang W; Tian Y; Xu Y; Zhang XX; Li YS; Zhao SF; Bai YH
BMC Med Imaging; 2022 Jul; 22(1):130. PubMed ID: 35870877
[TBL] [Abstract][Full Text] [Related]
18. Bright field microscopic cells counting method for BEVS using nonlinear convergence index sliding band filter.
Sui D; Wang K; Park H; Chae J
Biomed Eng Online; 2014 Oct; 13():147. PubMed ID: 25342097
[TBL] [Abstract][Full Text] [Related]
19. YOLOv5-FPN: A Robust Framework for Multi-Sized Cell Counting in Fluorescence Images.
Aldughayfiq B; Ashfaq F; Jhanjhi NZ; Humayun M
Diagnostics (Basel); 2023 Jul; 13(13):. PubMed ID: 37443674
[TBL] [Abstract][Full Text] [Related]
20. A deep learning- and partial least square regression-based model observer for a low-contrast lesion detection task in CT.
Gong H; Yu L; Leng S; Dilger SK; Ren L; Zhou W; Fletcher JG; McCollough CH
Med Phys; 2019 May; 46(5):2052-2063. PubMed ID: 30889282
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
