122 related articles for article (PubMed ID: 34128955)
1. A convolutional neural network for common coordinate registration of high-resolution histology images.
Daly AC; Geras KJ; Bonneau R
Bioinformatics; 2021 Nov; 37(22):4216-4226. PubMed ID: 34128955
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
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. Lung tumor segmentation in 4D CT images using motion convolutional neural networks.
Momin S; Lei Y; Tian Z; Wang T; Roper J; Kesarwala AH; Higgins K; Bradley JD; Liu T; Yang X
Med Phys; 2021 Nov; 48(11):7141-7153. PubMed ID: 34469001
[TBL] [Abstract][Full Text] [Related]
6. A comparative study of pre-trained convolutional neural networks for semantic segmentation of breast tumors in ultrasound.
Gómez-Flores W; Coelho de Albuquerque Pereira W
Comput Biol Med; 2020 Nov; 126():104036. PubMed ID: 33059238
[TBL] [Abstract][Full Text] [Related]
7. A new architecture combining convolutional and transformer-based networks for automatic 3D multi-organ segmentation on CT images.
Li C; Bagher-Ebadian H; Sultan R; Elshaikh M; Movsas B; Zhu D; Chetty IJ
Med Phys; 2023 Nov; 50(11):6990-7002. PubMed ID: 37738468
[TBL] [Abstract][Full Text] [Related]
8. MSCT-UNET: multi-scale contrastive transformer within U-shaped network for medical image segmentation.
Xi H; Dong H; Sheng Y; Cui H; Huang C; Li J; Zhu J
Phys Med Biol; 2023 Dec; 69(1):. PubMed ID: 38061069
[No Abstract] [Full Text] [Related]
9. Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry.
Hasan MK; Calvet L; Rabbani N; Bartoli A
Med Image Anal; 2021 May; 70():101994. PubMed ID: 33611053
[TBL] [Abstract][Full Text] [Related]
10. Comprehensive evaluation of deep learning architectures for prediction of DNA/RNA sequence binding specificities.
Trabelsi A; Chaabane M; Ben-Hur A
Bioinformatics; 2019 Jul; 35(14):i269-i277. PubMed ID: 31510640
[TBL] [Abstract][Full Text] [Related]
11. Rotation equivariant and invariant neural networks for microscopy image analysis.
Chidester B; Zhou T; Do MN; Ma J
Bioinformatics; 2019 Jul; 35(14):i530-i537. PubMed ID: 31510662
[TBL] [Abstract][Full Text] [Related]
12. Spectral-Spatial Features Integrated Convolution Neural Network for Breast Cancer Classification.
Mewada HK; Patel AV; Hassaballah M; Alkinani MH; Mahant K
Sensors (Basel); 2020 Aug; 20(17):. PubMed ID: 32842640
[TBL] [Abstract][Full Text] [Related]
13. Unsupervised End-to-End Brain Tumor Magnetic Resonance Image Registration Using RBCNN: Rigid Transformation, B-Spline Transformation and Convolutional Neural Network.
Sankareswaran SP; Krishnan M
Curr Med Imaging; 2022; 18(4):387-397. PubMed ID: 34365954
[TBL] [Abstract][Full Text] [Related]
14. Detecting spatially co-expressed gene clusters with functional coherence by graph-regularized convolutional neural network.
Song T; Markham KK; Li Z; Muller KE; Greenham K; Kuang R
Bioinformatics; 2022 Feb; 38(5):1344-1352. PubMed ID: 34864909
[TBL] [Abstract][Full Text] [Related]
15. Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation.
Wen J; Thibeau-Sutre E; Diaz-Melo M; Samper-González J; Routier A; Bottani S; Dormont D; Durrleman S; Burgos N; Colliot O; ;
Med Image Anal; 2020 Jul; 63():101694. PubMed ID: 32417716
[TBL] [Abstract][Full Text] [Related]
16. BUS-Set: A benchmark for quantitative evaluation of breast ultrasound segmentation networks with public datasets.
Thomas C; Byra M; Marti R; Yap MH; Zwiggelaar R
Med Phys; 2023 May; 50(5):3223-3243. PubMed ID: 36794706
[TBL] [Abstract][Full Text] [Related]
17. Automated glioma grading on conventional MRI images using deep convolutional neural networks.
Zhuge Y; Ning H; Mathen P; Cheng JY; Krauze AV; Camphausen K; Miller RW
Med Phys; 2020 Jul; 47(7):3044-3053. PubMed ID: 32277478
[TBL] [Abstract][Full Text] [Related]
18. Automatic improvement of deep learning-based cell segmentation in time-lapse microscopy by neural architecture search.
Zhu Y; Meijering E
Bioinformatics; 2021 Dec; 37(24):4844-4850. PubMed ID: 34329376
[TBL] [Abstract][Full Text] [Related]
19. White blood cells detection and classification based on regional convolutional neural networks.
Kutlu H; Avci E; Özyurt F
Med Hypotheses; 2020 Feb; 135():109472. PubMed ID: 31760248
[TBL] [Abstract][Full Text] [Related]
20. Convolutional neural network for automated mass segmentation in mammography.
Abdelhafiz D; Bi J; Ammar R; Yang C; Nabavi S
BMC Bioinformatics; 2020 Dec; 21(Suppl 1):192. PubMed ID: 33297952
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
