160 related articles for article (PubMed ID: 37688086)
21. Joint Classification of Hyperspectral Images and LiDAR Data Based on Dual-Branch Transformer.
Wang Q; Zhou B; Zhang J; Xie J; Wang Y
Sensors (Basel); 2024 Jan; 24(3):. PubMed ID: 38339584
[TBL] [Abstract][Full Text] [Related]
22. Robust Spatial-Spectral Squeeze-Excitation AdaBound Dense Network (SE-AB-Densenet) for Hyperspectral Image Classification.
Munishamaiaha K; Rajagopal G; Venkatesan DK; Arif M; Vicoveanu D; Chiuchisan I; Izdrui D; Geman O
Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35590921
[TBL] [Abstract][Full Text] [Related]
23. Deep Hierarchical Vision Transformer for Hyperspectral and LiDAR Data Classification.
Xue Z; Tan X; Yu X; Liu B; Yu A; Zhang P
IEEE Trans Image Process; 2022; 31():3095-3110. PubMed ID: 35404817
[TBL] [Abstract][Full Text] [Related]
24. Spatial-Spectral Feature Refinement for Hyperspectral Image Classification Based on Attention-Dense 3D-2D-CNN.
Zhang J; Wei F; Feng F; Wang C
Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32933016
[TBL] [Abstract][Full Text] [Related]
25. Hyperspectral Image Classification Model Using Squeeze and Excitation Network with Deep Learning.
T R; Valsalan P; J A; M J; S R; Latha G CP; T A
Comput Intell Neurosci; 2022; 2022():9430779. PubMed ID: 35965752
[TBL] [Abstract][Full Text] [Related]
26. Dual encoder network with transformer-CNN for multi-organ segmentation.
Hong Z; Chen M; Hu W; Yan S; Qu A; Chen L; Chen J
Med Biol Eng Comput; 2023 Mar; 61(3):661-671. PubMed ID: 36580181
[TBL] [Abstract][Full Text] [Related]
27. SwinBTS: A Method for 3D Multimodal Brain Tumor Segmentation Using Swin Transformer.
Jiang Y; Zhang Y; Lin X; Dong J; Cheng T; Liang J
Brain Sci; 2022 Jun; 12(6):. PubMed ID: 35741682
[TBL] [Abstract][Full Text] [Related]
28. A 3D-2D Convolutional Neural Network and Transfer Learning for Hyperspectral Image Classification.
Nyabuga DO; Song J; Liu G; Adjeisah M
Comput Intell Neurosci; 2021; 2021():1759111. PubMed ID: 34471405
[TBL] [Abstract][Full Text] [Related]
29. MBT: Model-Based Transformer for retinal optical coherence tomography image and video multi-classification.
Ait Hammou B; Antaki F; Boucher MC; Duval R
Int J Med Inform; 2023 Oct; 178():105178. PubMed ID: 37657204
[TBL] [Abstract][Full Text] [Related]
30. Hierarchical Multi-Scale Convolutional Neural Networks for Hyperspectral Image Classification.
Li S; Zhu X; Bao J
Sensors (Basel); 2019 Apr; 19(7):. PubMed ID: 30974816
[TBL] [Abstract][Full Text] [Related]
31. Analysis of CT scan images for COVID-19 pneumonia based on a deep ensemble framework with DenseNet, Swin transformer, and RegNet.
Peng L; Wang C; Tian G; Liu G; Li G; Lu Y; Yang J; Chen M; Li Z
Front Microbiol; 2022; 13():995323. PubMed ID: 36212877
[TBL] [Abstract][Full Text] [Related]
32. Hyperspectral Image Classification With Multi-Attention Transformer and Adaptive Superpixel Segmentation-Based Active Learning.
Zhao C; Qin B; Feng S; Zhu W; Sun W; Li W; Jia X
IEEE Trans Image Process; 2023; 32():3606-3621. PubMed ID: 37368812
[TBL] [Abstract][Full Text] [Related]
33. Consecutive multiscale feature learning-based image classification model.
Olimov B; Subramanian B; Ugli RAA; Kim JS; Kim J
Sci Rep; 2023 Mar; 13(1):3595. PubMed ID: 36869132
[TBL] [Abstract][Full Text] [Related]
34. Dual-Coupled CNN-GCN-Based Classification for Hyperspectral and LiDAR Data.
Wang L; Wang X
Sensors (Basel); 2022 Jul; 22(15):. PubMed ID: 35957291
[TBL] [Abstract][Full Text] [Related]
35. Transfer Learning-Based Hyperspectral Image Classification Using Residual Dense Connection Networks.
Zhou H; Wang X; Xia K; Ma Y; Yuan G
Sensors (Basel); 2024 Apr; 24(9):. PubMed ID: 38732770
[TBL] [Abstract][Full Text] [Related]
36. A Transformer-Based Model for Super-Resolution of Anime Image.
Xu S; Dutta V; He X; Matsumaru T
Sensors (Basel); 2022 Oct; 22(21):. PubMed ID: 36365830
[TBL] [Abstract][Full Text] [Related]
37. Hyperspectral imaging-based cutaneous wound classification using neighbourhood extraction 3D convolutional neural network.
Cihan M; Ceylan M
Biomed Tech (Berl); 2023 Aug; 68(4):427-435. PubMed ID: 36862718
[TBL] [Abstract][Full Text] [Related]
38. Dual-path Network for Liver and Tumor Segmentation in CT Images Using Swin Transformer Encoding Approach.
Yang Z; Li S
Curr Med Imaging; 2023; 19(10):1114-1123. PubMed ID: 36239728
[TBL] [Abstract][Full Text] [Related]
39. Transformer encoder with multiscale deep learning for pain classification using physiological signals.
Lu Z; Ozek B; Kamarthi S
Front Physiol; 2023; 14():1294577. PubMed ID: 38124717
[TBL] [Abstract][Full Text] [Related]
40. Hybrid-scale contextual fusion network for medical image segmentation.
Bao H; Zhu Y; Li Q
Comput Biol Med; 2023 Jan; 152():106439. PubMed ID: 36566623
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]