211 related articles for article (PubMed ID: 34911012)
21. An early detection and segmentation of Brain Tumor using Deep Neural Network.
Aggarwal M; Tiwari AK; Sarathi MP; Bijalwan A
BMC Med Inform Decis Mak; 2023 Apr; 23(1):78. PubMed ID: 37101176
[TBL] [Abstract][Full Text] [Related]
22. NucleiSegNet: Robust deep learning architecture for the nuclei segmentation of liver cancer histopathology images.
Lal S; Das D; Alabhya K; Kanfade A; Kumar A; Kini J
Comput Biol Med; 2021 Jan; 128():104075. PubMed ID: 33190012
[TBL] [Abstract][Full Text] [Related]
23. Image generation by GAN and style transfer for agar plate image segmentation.
Andreini P; Bonechi S; Bianchini M; Mecocci A; Scarselli F
Comput Methods Programs Biomed; 2020 Feb; 184():105268. PubMed ID: 31891902
[TBL] [Abstract][Full Text] [Related]
24. Multi-Scale Deep Neural Network Based on Dilated Convolution for Spacecraft Image Segmentation.
Liu Y; Zhu M; Wang J; Guo X; Yang Y; Wang J
Sensors (Basel); 2022 Jun; 22(11):. PubMed ID: 35684842
[TBL] [Abstract][Full Text] [Related]
25. SA-Net: A scale-attention network for medical image segmentation.
Hu J; Wang H; Wang J; Wang Y; He F; Zhang J
PLoS One; 2021; 16(4):e0247388. PubMed ID: 33852577
[TBL] [Abstract][Full Text] [Related]
26. Convolutional neural network based on the fusion of image classification and segmentation module for weed detection in alfalfa.
Yang J; Chen Y; Yu J
Pest Manag Sci; 2024 Jun; 80(6):2751-2760. PubMed ID: 38299763
[TBL] [Abstract][Full Text] [Related]
27. Capsule networks for segmentation of small intravascular ultrasound image datasets.
Bargsten L; Raschka S; Schlaefer A
Int J Comput Assist Radiol Surg; 2021 Aug; 16(8):1243-1254. PubMed ID: 34125391
[TBL] [Abstract][Full Text] [Related]
28. AFINet: Attentive Feature Integration Networks for image classification.
Pan X; Xu J; Pan Y; Wen L; Lin W; Bai K; Fu H; Xu Z
Neural Netw; 2022 Nov; 155():360-368. PubMed ID: 36115162
[TBL] [Abstract][Full Text] [Related]
29. A Multi-Scale Context Aware Attention Model for Medical Image Segmentation.
Alam MS; Wang D; Liao Q; Sowmya A
IEEE J Biomed Health Inform; 2023 Aug; 27(8):3731-3739. PubMed ID: 37015493
[TBL] [Abstract][Full Text] [Related]
30. Dental bitewing radiographs segmentation using deep learning-based convolutional neural network algorithms.
Bonny T; Al-Ali A; Al-Ali M; Alsaadi R; Al Nassan W; Obaideen K; AlMallahi M
Oral Radiol; 2024 Apr; 40(2):165-177. PubMed ID: 38047985
[TBL] [Abstract][Full Text] [Related]
31. A Stacked Generalization U-shape network based on zoom strategy and its application in biomedical image segmentation.
Shi T; Jiang H; Zheng B
Comput Methods Programs Biomed; 2020 Dec; 197():105678. PubMed ID: 32791449
[TBL] [Abstract][Full Text] [Related]
32. HMA-Net: A deep U-shaped network combined with HarDNet and multi-attention mechanism for medical image segmentation.
Liu Q; Han Z; Liu Z; Zhang J
Med Phys; 2023 Mar; 50(3):1635-1646. PubMed ID: 36303466
[TBL] [Abstract][Full Text] [Related]
33. An Efficient and Rapid Medical Image Segmentation Network.
Su D; Luo J; Fei C
IEEE J Biomed Health Inform; 2024 May; 28(5):2979-2990. PubMed ID: 38457317
[TBL] [Abstract][Full Text] [Related]
34. Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification.
Sun Y; Xue B; Zhang M; Yen GG; Lv J
IEEE Trans Cybern; 2020 Sep; 50(9):3840-3854. PubMed ID: 32324588
[TBL] [Abstract][Full Text] [Related]
35. Deep Neural Networks for Medical Image Segmentation.
Malhotra P; Gupta S; Koundal D; Zaguia A; Enbeyle W
J Healthc Eng; 2022; 2022():9580991. PubMed ID: 35310182
[TBL] [Abstract][Full Text] [Related]
36. CASF-Net: Cross-attention and cross-scale fusion network for medical image segmentation.
Zheng J; Liu H; Feng Y; Xu J; Zhao L
Comput Methods Programs Biomed; 2023 Feb; 229():107307. PubMed ID: 36571889
[TBL] [Abstract][Full Text] [Related]
37. Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features.
Xu Y; Jia Z; Wang LB; Ai Y; Zhang F; Lai M; Chang EI
BMC Bioinformatics; 2017 May; 18(1):281. PubMed ID: 28549410
[TBL] [Abstract][Full Text] [Related]
38. Collaborative networks of transformers and convolutional neural networks are powerful and versatile learners for accurate 3D medical image segmentation.
Chen Y; Lu X; Xie Q
Comput Biol Med; 2023 Sep; 164():107228. PubMed ID: 37473563
[TBL] [Abstract][Full Text] [Related]
39. OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions.
Heinrich MP; Oktay O; Bouteldja N
Med Image Anal; 2019 May; 54():1-9. PubMed ID: 30807894
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]
