260 related articles for article (PubMed ID: 35890829)
41. P-ResUnet: Segmentation of brain tissue with Purified Residual Unet.
Niu K; Guo Z; Peng X; Pei S
Comput Biol Med; 2022 Dec; 151(Pt B):106294. PubMed ID: 36435055
[TBL] [Abstract][Full Text] [Related]
42. Automatic segmentation of prostate MRI based on 3D pyramid pooling Unet.
Li Y; Lin C; Zhang Y; Feng S; Huang M; Bai Z
Med Phys; 2023 Feb; 50(2):906-921. PubMed ID: 35923153
[TBL] [Abstract][Full Text] [Related]
43. Semantic segmentation of cerebrospinal fluid and brain volume with a convolutional neural network in pediatric hydrocephalus-transfer learning from existing algorithms.
Grimm F; Edl F; Kerscher SR; Nieselt K; Gugel I; Schuhmann MU
Acta Neurochir (Wien); 2020 Oct; 162(10):2463-2474. PubMed ID: 32583085
[TBL] [Abstract][Full Text] [Related]
44. DENSE-INception U-net for medical image segmentation.
Zhang Z; Wu C; Coleman S; Kerr D
Comput Methods Programs Biomed; 2020 Aug; 192():105395. PubMed ID: 32163817
[TBL] [Abstract][Full Text] [Related]
45. Dense gate network for biomedical image segmentation.
Li D; Chen C; Li J; Wang L
Int J Comput Assist Radiol Surg; 2020 Aug; 15(8):1247-1255. PubMed ID: 32270415
[TBL] [Abstract][Full Text] [Related]
46. RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal OCT Fluid Segmentation.
Rasti R; Biglari A; Rezapourian M; Yang Z; Farsiu S
IEEE Trans Med Imaging; 2023 May; 42(5):1413-1423. PubMed ID: 37015695
[TBL] [Abstract][Full Text] [Related]
47. DilUnet: A U-net based architecture for blood vessels segmentation.
Hussain S; Guo F; Li W; Shen Z
Comput Methods Programs Biomed; 2022 May; 218():106732. PubMed ID: 35279601
[TBL] [Abstract][Full Text] [Related]
48. N-Net: A novel dense fully convolutional neural network for thyroid nodule segmentation.
Nie X; Zhou X; Tong T; Lin X; Wang L; Zheng H; Li J; Xue E; Chen S; Zheng M; Chen C; Du M
Front Neurosci; 2022; 16():872601. PubMed ID: 36117632
[TBL] [Abstract][Full Text] [Related]
49. MAS-Net:Multi-modal Assistant Segmentation Network For Lumbar Intervertebral Disc.
Qinhong D; Yue H; Wendong B; Yukun D; Huan Y; Yongming X
Phys Med Biol; 2023 Aug; 68(17):. PubMed ID: 37567228
[No Abstract] [Full Text] [Related]
50. Residual-atrous attention network for lumbosacral plexus segmentation with MR image.
Zhao J; Sun L; Zhou X; Huang S; Si H; Zhang D
Comput Med Imaging Graph; 2022 Sep; 100():102109. PubMed ID: 35973284
[TBL] [Abstract][Full Text] [Related]
51. A dense residual U-net for multiple sclerosis lesions segmentation from multi-sequence 3D MR images.
Sarica B; Seker DZ; Bayram B
Int J Med Inform; 2023 Feb; 170():104965. PubMed ID: 36580821
[TBL] [Abstract][Full Text] [Related]
52. RFPNet: Reorganizing feature pyramid networks for medical image segmentation.
Wang Z; Zhu J; Fu S; Mao S; Ye Y
Comput Biol Med; 2023 Sep; 163():107108. PubMed ID: 37321104
[TBL] [Abstract][Full Text] [Related]
53. Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation.
Dai D; Dong C; Xu S; Yan Q; Li Z; Zhang C; Luo N
Med Image Anal; 2022 Jan; 75():102293. PubMed ID: 34800787
[TBL] [Abstract][Full Text] [Related]
54. Fusion network based on the dual attention mechanism and atrous spatial pyramid pooling for automatic segmentation in retinal vessel images.
Liang B; Tang C; Xu M; Wu T; Lei Z
J Opt Soc Am A Opt Image Sci Vis; 2022 Aug; 39(8):1393-1402. PubMed ID: 36215583
[TBL] [Abstract][Full Text] [Related]
55. E-DU: Deep neural network for multimodal medical image segmentation based on semantic gap compensation.
Wang H; Chen X; Yu R; Wei Z; Yao T; Gao C; Li Y; Wang Z; Yi D; Wu Y
Comput Biol Med; 2022 Dec; 151(Pt A):106206. PubMed ID: 36395592
[TBL] [Abstract][Full Text] [Related]
56. Rubik-Net: Learning Spatial Information via Rotation-Driven Convolutions for Brain Segmentation.
Luan X; Zheng X; Li W; Liu L; Shu Y; Guo Y
IEEE J Biomed Health Inform; 2022 Jan; 26(1):289-300. PubMed ID: 34242176
[TBL] [Abstract][Full Text] [Related]
57. Automatic Polyp Segmentation in Colonoscopy Images Using a Modified Deep Convolutional Encoder-Decoder Architecture.
Eu CY; Tang TB; Lin CH; Lee LH; Lu CK
Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34451072
[TBL] [Abstract][Full Text] [Related]
58. FEEDNet: a feature enhanced encoder-decoder LSTM network for nuclei instance segmentation for histopathological diagnosis.
Deshmukh G; Susladkar O; Makwana D; Chandra Teja R S; Kumar S N; Mittal S
Phys Med Biol; 2022 Sep; 67(19):. PubMed ID: 35905732
[No Abstract] [Full Text] [Related]
59. DRRNet: Dense Residual Refine Networks for Automatic Brain Tumor Segmentation.
Sun J; Chen W; Peng S; Liu B
J Med Syst; 2019 Jun; 43(7):221. PubMed ID: 31177346
[TBL] [Abstract][Full Text] [Related]
60. HWA-SegNet: Multi-channel skin lesion image segmentation network with hierarchical analysis and weight adjustment.
Han Q; Wang H; Hou M; Weng T; Pei Y; Li Z; Chen G; Tian Y; Qiu Z
Comput Biol Med; 2023 Jan; 152():106343. PubMed ID: 36481758
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]