268 related articles for article (PubMed ID: 27307644)
1. Classifying and segmenting microscopy images with deep multiple instance learning.
Kraus OZ; Ba JL; Frey BJ
Bioinformatics; 2016 Jun; 32(12):i52-i59. PubMed ID: 27307644
[TBL] [Abstract][Full Text] [Related]
2. Computer vision for high content screening.
Kraus OZ; Frey BJ
Crit Rev Biochem Mol Biol; 2016; 51(2):102-9. PubMed ID: 26806341
[TBL] [Abstract][Full Text] [Related]
3. Micro-Net: A unified model for segmentation of various objects in microscopy images.
Raza SEA; Cheung L; Shaban M; Graham S; Epstein D; Pelengaris S; Khan M; Rajpoot NM
Med Image Anal; 2019 Feb; 52():160-173. PubMed ID: 30580111
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Classification and counting of cells in brightfield microscopy images: an application of convolutional neural networks.
Ferreira EKGD; Silveira GF
Sci Rep; 2024 Apr; 14(1):9031. PubMed ID: 38641688
[TBL] [Abstract][Full Text] [Related]
6. Deep Convolution Neural Network for Malignancy Detection and Classification in Microscopic Uterine Cervix Cell Images.
P B S; Faruqi F; K S H; Kudva R
Asian Pac J Cancer Prev; 2019 Nov; 20(11):3447-3456. PubMed ID: 31759371
[TBL] [Abstract][Full Text] [Related]
7. Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images.
Su Z; Rezapour M; Sajjad U; Gurcan MN; Niazi MKK
Comput Biol Med; 2023 Dec; 167():107607. PubMed ID: 37890421
[TBL] [Abstract][Full Text] [Related]
8. A novel biomedical image indexing and retrieval system via deep preference learning.
Pang S; Orgun MA; Yu Z
Comput Methods Programs Biomed; 2018 May; 158():53-69. PubMed ID: 29544790
[TBL] [Abstract][Full Text] [Related]
9. Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images.
Alaskar H; Hussain A; Al-Aseem N; Liatsis P; Al-Jumeily D
Sensors (Basel); 2019 Mar; 19(6):. PubMed ID: 30871162
[TBL] [Abstract][Full Text] [Related]
10. Tox_(R)CNN: Deep learning-based nuclei profiling tool for drug toxicity screening.
Jimenez-Carretero D; Abrishami V; Fernández-de-Manuel L; Palacios I; Quílez-Álvarez A; Díez-Sánchez A; Del Pozo MA; Montoya MC
PLoS Comput Biol; 2018 Nov; 14(11):e1006238. PubMed ID: 30500821
[TBL] [Abstract][Full Text] [Related]
11. UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification.
Wang X; Tang F; Chen H; Luo L; Tang Z; Ran AR; Cheung CY; Heng PA
IEEE J Biomed Health Inform; 2020 Dec; 24(12):3431-3442. PubMed ID: 32248132
[TBL] [Abstract][Full Text] [Related]
12. A Multiple-Instance Learning-Based Convolutional Neural Network Model to Detect the
Cui D; Liu Y; Liu G; Liu L
J Comput Biol; 2020 Aug; 27(8):1264-1272. PubMed ID: 31905004
[No Abstract] [Full Text] [Related]
13. Learning unsupervised feature representations for single cell microscopy images with paired cell inpainting.
Lu AX; Kraus OZ; Cooper S; Moses AM
PLoS Comput Biol; 2019 Sep; 15(9):e1007348. PubMed ID: 31479439
[TBL] [Abstract][Full Text] [Related]
14. Towards pixel-to-pixel deep nucleus detection in microscopy images.
Xing F; Xie Y; Shi X; Chen P; Zhang Z; Yang L
BMC Bioinformatics; 2019 Sep; 20(1):472. PubMed ID: 31521104
[TBL] [Abstract][Full Text] [Related]
15. Features in Backgrounds of Microscopy Images Introduce Biases in Machine Learning Analyses.
Greenblott DN; Johann F; Snell JR; Gieseler H; Calderon CP; Randolph TW
J Pharm Sci; 2024 May; 113(5):1177-1189. PubMed ID: 38484874
[TBL] [Abstract][Full Text] [Related]
16. Reducing the U-Net size for practical scenarios: Virus recognition in electron microscopy images.
Matuszewski DJ; Sintorn IM
Comput Methods Programs Biomed; 2019 Sep; 178():31-39. PubMed ID: 31416558
[TBL] [Abstract][Full Text] [Related]
17. Application of convolutional neural networks towards nuclei segmentation in localization-based super-resolution fluorescence microscopy images.
Mela CA; Liu Y
BMC Bioinformatics; 2021 Jun; 22(1):325. PubMed ID: 34130628
[TBL] [Abstract][Full Text] [Related]
18. Weakly supervised histopathology image segmentation with self-attention.
Li K; Qian Z; Han Y; Chang EI; Wei B; Lai M; Liao J; Fan Y; Xu Y
Med Image Anal; 2023 May; 86():102791. PubMed ID: 36933385
[TBL] [Abstract][Full Text] [Related]
19. A transfer learning-based multimodal neural network combining metadata and multiple medical images for glaucoma type diagnosis.
Li Y; Han Y; Li Z; Zhong Y; Guo Z
Sci Rep; 2023 Jul; 13(1):12076. PubMed ID: 37495578
[TBL] [Abstract][Full Text] [Related]
20. Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images.
Dov D; Kovalsky SZ; Assaad S; Cohen J; Range DE; Pendse AA; Henao R; Carin L
Med Image Anal; 2021 Jan; 67():101814. PubMed ID: 33049578
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]