427 related articles for article (PubMed ID: 35591030)
1. A Performance Improvement Strategy for Concrete Damage Detection Using Stacking Ensemble Learning of Multiple Semantic Segmentation Networks.
Li S; Zhao X
Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35591030
[TBL] [Abstract][Full Text] [Related]
2. Study on the Influence of Label Image Accuracy on the Performance of Concrete Crack Segmentation Network Models.
Ma K; Hao M; Shang W; Liu J; Meng J; Hu Q; He P; Li S
Sensors (Basel); 2024 Feb; 24(4):. PubMed ID: 38400225
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. The effects of different levels of realism on the training of CNNs with only synthetic images for the semantic segmentation of robotic instruments in a head phantom.
Heredia Perez SA; Marques Marinho M; Harada K; Mitsuishi M
Int J Comput Assist Radiol Surg; 2020 Aug; 15(8):1257-1265. PubMed ID: 32445129
[TBL] [Abstract][Full Text] [Related]
5. Evaluation of Deep Neural Networks for Semantic Segmentation of Prostate in T2W MRI.
Khan Z; Yahya N; Alsaih K; Ali SSA; Meriaudeau F
Sensors (Basel); 2020 Jun; 20(11):. PubMed ID: 32503330
[TBL] [Abstract][Full Text] [Related]
6. Pixel-Level Fatigue Crack Segmentation in Large-Scale Images of Steel Structures Using an Encoder-Decoder Network.
Dong C; Li L; Yan J; Zhang Z; Pan H; Catbas FN
Sensors (Basel); 2021 Jun; 21(12):. PubMed ID: 34208691
[TBL] [Abstract][Full Text] [Related]
7. Semantic Segmentation Using Pixel-Wise Adaptive Label Smoothing via Self-Knowledge Distillation for Limited Labeling Data.
Park S; Kim J; Heo YS
Sensors (Basel); 2022 Mar; 22(7):. PubMed ID: 35408237
[TBL] [Abstract][Full Text] [Related]
8. New End-to-End Strategy Based on DeepLabv3+ Semantic Segmentation for Human Head Detection.
Chouai M; Dolezel P; Stursa D; Nemec Z
Sensors (Basel); 2021 Aug; 21(17):. PubMed ID: 34502738
[TBL] [Abstract][Full Text] [Related]
9. Semantic segmentation of mFISH images using convolutional networks.
Pardo E; Morgado JMT; Malpica N
Cytometry A; 2018 Jun; 93(6):620-627. PubMed ID: 29710381
[TBL] [Abstract][Full Text] [Related]
10. Generative multi-adversarial network for striking the right balance in abdominal image segmentation.
Rezaei M; Näppi JJ; Lippert C; Meinel C; Yoshida H
Int J Comput Assist Radiol Surg; 2020 Nov; 15(11):1847-1858. PubMed ID: 32897490
[TBL] [Abstract][Full Text] [Related]
11. Road crack segmentation using an attention residual U-Net with generative adversarial learning.
Hu X; Yao M; Zhang D
Math Biosci Eng; 2021 Nov; 18(6):9669-9684. PubMed ID: 34814362
[TBL] [Abstract][Full Text] [Related]
12. Automated polyp segmentation for colonoscopy images: A method based on convolutional neural networks and ensemble learning.
Guo X; Zhang N; Guo J; Zhang H; Hao Y; Hang J
Med Phys; 2019 Dec; 46(12):5666-5676. PubMed ID: 31610020
[TBL] [Abstract][Full Text] [Related]
13. Assessment of encoder-decoder-based segmentation models for thyroid ultrasound images.
Yadav N; Dass R; Virmani J
Med Biol Eng Comput; 2023 Aug; 61(8):2159-2195. PubMed ID: 37353695
[TBL] [Abstract][Full Text] [Related]
14. Distinguishing the Uterine Artery, the Ureter, and Nerves in Laparoscopic Surgical Images Using Ensembles of Binary Semantic Segmentation Networks.
Serban N; Kupas D; Hajdu A; Török P; Harangi B
Sensors (Basel); 2024 May; 24(9):. PubMed ID: 38733032
[TBL] [Abstract][Full Text] [Related]
15. Combined Transfer Learning and Test-Time Augmentation Improves Convolutional Neural Network-Based Semantic Segmentation of Prostate Cancer from Multi-Parametric MR Images.
Hoar D; Lee PQ; Guida A; Patterson S; Bowen CV; Merrimen J; Wang C; Rendon R; Beyea SD; Clarke SE
Comput Methods Programs Biomed; 2021 Oct; 210():106375. PubMed ID: 34500139
[TBL] [Abstract][Full Text] [Related]
16. Improving Concrete Crack Segmentation Networks through CutMix Data Synthesis and Temporal Data Fusion.
Jamshidi M; El-Badry M; Nourian N
Sensors (Basel); 2023 Jan; 23(1):. PubMed ID: 36617106
[TBL] [Abstract][Full Text] [Related]
17. W-Net: Dense and diagnostic semantic segmentation of subcutaneous and breast tissue in ultrasound images by incorporating ultrasound RF waveform data.
Gare GR; Li J; Joshi R; Magar R; Vaze MP; Yousefpour M; Rodriguez RL; Galeotti JM
Med Image Anal; 2022 Feb; 76():102326. PubMed ID: 34936967
[TBL] [Abstract][Full Text] [Related]
18. Deep learning-based concrete defects classification and detection using semantic segmentation.
Arafin P; Billah AM; Issa A
Struct Health Monit; 2024 Jan; 23(1):383-409. PubMed ID: 38078049
[TBL] [Abstract][Full Text] [Related]
19. Glomerulosclerosis identification in whole slide images using semantic segmentation.
Bueno G; Fernandez-Carrobles MM; Gonzalez-Lopez L; Deniz O
Comput Methods Programs Biomed; 2020 Feb; 184():105273. PubMed ID: 31891905
[TBL] [Abstract][Full Text] [Related]
20. A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation.
Laves MH; Bicker J; Kahrs LA; Ortmaier T
Int J Comput Assist Radiol Surg; 2019 Mar; 14(3):483-492. PubMed ID: 30649670
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
