These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
249 related articles for article (PubMed ID: 34304110)
21. P-CNN: Part-Based Convolutional Neural Networks for Fine-Grained Visual Categorization. Han J; Yao X; Cheng G; Feng X; Xu D IEEE Trans Pattern Anal Mach Intell; 2022 Feb; 44(2):579-590. PubMed ID: 31398107 [TBL] [Abstract][Full Text] [Related]
22. An adaptive weighted attention-enhanced deep convolutional neural network for classification of MRI images of Parkinson's disease. Cui X; Chen N; Zhao C; Li J; Zheng X; Liu C; Yang J; Li X; Yu C; Liu J; Liu X J Neurosci Methods; 2023 Jul; 394():109884. PubMed ID: 37207799 [TBL] [Abstract][Full Text] [Related]
23. A reliable and low-cost deep learning model integrating convolutional neural network and transformer structure for fine-grained classification of chicken Eimeria species. He P; Chen Z; He Y; Chen J; Hayat K; Pan J; Lin H Poult Sci; 2023 Mar; 102(3):102459. PubMed ID: 36682127 [TBL] [Abstract][Full Text] [Related]
24. MSDCNN: A multiscale dilated convolution neural network for fine-grained 3D shape classification. Zhou W; Zheng F; Zhao Y; Pang Y; Yi J Neural Netw; 2024 Apr; 172():106141. PubMed ID: 38301340 [TBL] [Abstract][Full Text] [Related]
25. Dermoscopic Image Classification Method Using an Ensemble of Fine-Tuned Convolutional Neural Networks. Shen X; Wei L; Tang S Sensors (Basel); 2022 May; 22(11):. PubMed ID: 35684768 [TBL] [Abstract][Full Text] [Related]
26. Significant feature suppression and cross-feature fusion networks for fine-grained visual classification. Yang S; Yang X; Wu J; Feng B Sci Rep; 2024 Oct; 14(1):24051. PubMed ID: 39402140 [TBL] [Abstract][Full Text] [Related]
27. Automated ECG classification using a non-local convolutional block attention module. Wang J; Qiao X; Liu C; Wang X; Liu Y; Yao L; Zhang H Comput Methods Programs Biomed; 2021 May; 203():106006. PubMed ID: 33735660 [TBL] [Abstract][Full Text] [Related]
28. Brain tumor classification for MR images using transfer learning and fine-tuning. Swati ZNK; Zhao Q; Kabir M; Ali F; Ali Z; Ahmed S; Lu J Comput Med Imaging Graph; 2019 Jul; 75():34-46. PubMed ID: 31150950 [TBL] [Abstract][Full Text] [Related]
29. Diabetic Retinal Grading Using Attention-Based Bilinear Convolutional Neural Network and Complement Cross Entropy. Liu P; Yang X; Jin B; Zhou Q Entropy (Basel); 2021 Jun; 23(7):. PubMed ID: 34206941 [TBL] [Abstract][Full Text] [Related]
30. Histopathological image classification with bilinear convolutional neural networks. Chaofeng Wang ; Jun Shi ; Qi Zhang ; Shihui Ying Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():4050-4053. PubMed ID: 29060786 [TBL] [Abstract][Full Text] [Related]
31. A novel CapsNet neural network based on MobileNetV2 structure for robot image classification. Zhang J; Yu X; Lei X; Wu C Front Neurorobot; 2022; 16():1007939. PubMed ID: 36247359 [TBL] [Abstract][Full Text] [Related]
32. Based on the multi-scale information sharing network of fine-grained attention for agricultural pest detection. Linfeng W; Yong L; Jiayao L; Yunsheng W; Shipu X PLoS One; 2023; 18(10):e0286732. PubMed ID: 37796844 [TBL] [Abstract][Full Text] [Related]
33. Multilevel and Multiscale Feature Aggregation in Deep Networks for Facial Constitution Classification. Huan EY; Wen GH Comput Math Methods Med; 2019; 2019():1258782. PubMed ID: 31933675 [TBL] [Abstract][Full Text] [Related]
34. [Research on remote sensing recognition of wild planted Lonicera japonica based on deep convolutional neural network]. Shi TT; Zhang XB; Guo LP; Jing ZX; Huang LQ Zhongguo Zhong Yao Za Zhi; 2020 Dec; 45(23):5658-5662. PubMed ID: 33496104 [TBL] [Abstract][Full Text] [Related]
35. SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization. Bera A; Wharton Z; Liu Y; Bessis N; Behera A IEEE Trans Image Process; 2022 Sep; PP():. PubMed ID: 36103441 [TBL] [Abstract][Full Text] [Related]
36. A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images. Pang S; Yu Z; Orgun MA Comput Methods Programs Biomed; 2017 Mar; 140():283-293. PubMed ID: 28254085 [TBL] [Abstract][Full Text] [Related]
37. TMTCPT: The Tree Method based on the Taxonomic Categorization and the Phylogenetic Tree for fine-grained categorization. Bameri F; Pourreza HR; Taherinia AH; Aliabadian M; Mortezapour HR; Abdilzadeh R Biosystems; 2020 Jul; 195():104137. PubMed ID: 32360318 [TBL] [Abstract][Full Text] [Related]
38. DeepNAT: Deep convolutional neural network for segmenting neuroanatomy. Wachinger C; Reuter M; Klein T Neuroimage; 2018 Apr; 170():434-445. PubMed ID: 28223187 [TBL] [Abstract][Full Text] [Related]
39. MHSU-Net: A more versatile neural network for medical image segmentation. Ma H; Zou Y; Liu PX Comput Methods Programs Biomed; 2021 Sep; 208():106230. PubMed ID: 34148011 [TBL] [Abstract][Full Text] [Related]
40. Breast ultrasound image segmentation: A coarse-to-fine fusion convolutional neural network. Wang K; Liang S; Zhong S; Feng Q; Ning Z; Zhang Y Med Phys; 2021 Aug; 48(8):4262-4278. PubMed ID: 34053092 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]