681 related articles for article (PubMed ID: 34343743)
1. Development of convolutional neural networks for recognition of tenogenic differentiation based on cellular morphology.
Dursun G; Tandale SB; Gulakala R; Eschweiler J; Tohidnezhad M; Markert B; Stoffel M
Comput Methods Programs Biomed; 2021 Sep; 208():106279. PubMed ID: 34343743
[TBL] [Abstract][Full Text] [Related]
2. Facial Expressions Recognition for Human-Robot Interaction Using Deep Convolutional Neural Networks with Rectified Adam Optimizer.
Melinte DO; Vladareanu L
Sensors (Basel); 2020 Apr; 20(8):. PubMed ID: 32340140
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Study of the Application of Deep Convolutional Neural Networks (CNNs) in Processing Sensor Data and Biomedical Images.
Hu W; Zhang Y; Li L
Sensors (Basel); 2019 Aug; 19(16):. PubMed ID: 31426516
[TBL] [Abstract][Full Text] [Related]
5. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.
Shin HC; Roth HR; Gao M; Lu L; Xu Z; Nogues I; Yao J; Mollura D; Summers RM
IEEE Trans Med Imaging; 2016 May; 35(5):1285-98. PubMed ID: 26886976
[TBL] [Abstract][Full Text] [Related]
6. Learning hidden patterns from patient multivariate time series data using convolutional neural networks: A case study of healthcare cost prediction.
Morid MA; Sheng ORL; Kawamoto K; Abdelrahman S
J Biomed Inform; 2020 Nov; 111():103565. PubMed ID: 32980530
[TBL] [Abstract][Full Text] [Related]
7. Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
Tajbakhsh N; Shin JY; Gurudu SR; Hurst RT; Kendall CB; Gotway MB; Jianming Liang
IEEE Trans Med Imaging; 2016 May; 35(5):1299-1312. PubMed ID: 26978662
[TBL] [Abstract][Full Text] [Related]
8. Deep Learning Neural Networks Highly Predict Very Early Onset of Pluripotent Stem Cell Differentiation.
Waisman A; La Greca A; Möbbs AM; Scarafía MA; Santín Velazque NL; Neiman G; Moro LN; Luzzani C; Sevlever GE; Guberman AS; Miriuka SG
Stem Cell Reports; 2019 Apr; 12(4):845-859. PubMed ID: 30880077
[TBL] [Abstract][Full Text] [Related]
9. Comparing convolutional neural networks and preprocessing techniques for HEp-2 cell classification in immunofluorescence images.
Rodrigues LF; Naldi MC; Mari JF
Comput Biol Med; 2020 Jan; 116():103542. PubMed ID: 31790962
[TBL] [Abstract][Full Text] [Related]
10. A deep dive into understanding tumor foci classification using multiparametric MRI based on convolutional neural network.
Zong W; Lee JK; Liu C; Carver EN; Feldman AM; Janic B; Elshaikh MA; Pantelic MV; Hearshen D; Chetty IJ; Movsas B; Wen N
Med Phys; 2020 Sep; 47(9):4077-4086. PubMed ID: 32449176
[TBL] [Abstract][Full Text] [Related]
11. Diagnosing acute promyelocytic leukemia by using convolutional neural network.
Ouyang N; Wang W; Ma L; Wang Y; Chen Q; Yang S; Xie J; Su S; Cheng Y; Cheng Q; Zheng L; Yuan Y
Clin Chim Acta; 2021 Jan; 512():1-6. PubMed ID: 33159948
[TBL] [Abstract][Full Text] [Related]
12. Automated Taxonomic Identification of Insects with Expert-Level Accuracy Using Effective Feature Transfer from Convolutional Networks.
Valan M; Makonyi K; Maki A; Vondráček D; Ronquist F
Syst Biol; 2019 Nov; 68(6):876-895. PubMed ID: 30825372
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Classification of focal liver lesions in CT images using convolutional neural networks with lesion information augmented patches and synthetic data augmentation.
Lee H; Lee H; Hong H; Bae H; Lim JS; Kim J
Med Phys; 2021 Sep; 48(9):5029-5046. PubMed ID: 34287951
[TBL] [Abstract][Full Text] [Related]
15. Convolutional neural network to predict the local recurrence of giant cell tumor of bone after curettage based on pre-surgery magnetic resonance images.
He Y; Guo J; Ding X; van Ooijen PMA; Zhang Y; Chen A; Oudkerk M; Xie X
Eur Radiol; 2019 Oct; 29(10):5441-5451. PubMed ID: 30859281
[TBL] [Abstract][Full Text] [Related]
16. Morphology-based deep learning approach for predicting adipogenic and osteogenic differentiation of human mesenchymal stem cells (hMSCs).
Mai M; Luo S; Fasciano S; Oluwole TE; Ortiz J; Pang Y; Wang S
Front Cell Dev Biol; 2023; 11():1329840. PubMed ID: 38099293
[TBL] [Abstract][Full Text] [Related]
17. Fast and Accurate Ophthalmic Medication Bottle Identification Using Deep Learning on a Smartphone Device.
Tran TT; Richardson AJW; Chen VM; Lin KY
Ophthalmol Glaucoma; 2022; 5(2):188-194. PubMed ID: 34389508
[TBL] [Abstract][Full Text] [Related]
18. Early Predicting Osteogenic Differentiation of Mesenchymal Stem Cells Based on Deep Learning Within One Day.
Shi Q; Song F; Zhou X; Chen X; Cao J; Na J; Fan Y; Zhang G; Zheng L
Ann Biomed Eng; 2024 Jun; 52(6):1706-1718. PubMed ID: 38488988
[TBL] [Abstract][Full Text] [Related]
19. Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification.
Al-Masni MA; Kim DH; Kim TS
Comput Methods Programs Biomed; 2020 Jul; 190():105351. PubMed ID: 32028084
[TBL] [Abstract][Full Text] [Related]
20. Real-Time Hand Gesture Recognition Using Fine-Tuned Convolutional Neural Network.
Sahoo JP; Prakash AJ; Pławiak P; Samantray S
Sensors (Basel); 2022 Jan; 22(3):. PubMed ID: 35161453
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
