220 related articles for article (PubMed ID: 37611428)
1. Attention-guided multi-scale learning network for automatic prostate and tumor segmentation on MRI.
Li Y; Wu Y; Huang M; Zhang Y; Bai Z
Comput Biol Med; 2023 Oct; 165():107374. PubMed ID: 37611428
[TBL] [Abstract][Full Text] [Related]
2. Automatic prostate and peri-prostatic fat segmentation based on pyramid mechanism fusion network for T2-weighted MRI.
Li Y; Wu Y; Huang M; Zhang Y; Bai Z
Comput Methods Programs Biomed; 2022 Aug; 223():106918. PubMed ID: 35779461
[TBL] [Abstract][Full Text] [Related]
3. Automatic intraprostatic lesion segmentation in multiparametric magnetic resonance images with proposed multiple branch UNet.
Chen Y; Xing L; Yu L; Bagshaw HP; Buyyounouski MK; Han B
Med Phys; 2020 Dec; 47(12):6421-6429. PubMed ID: 33012016
[TBL] [Abstract][Full Text] [Related]
4. Medical image diagnosis of prostate tumor based on PSP-Net+VGG16 deep learning network.
Ye LY; Miao XY; Cai WS; Xu WJ
Comput Methods Programs Biomed; 2022 Jun; 221():106770. PubMed ID: 35640389
[TBL] [Abstract][Full Text] [Related]
5. Fully automatic segmentation on prostate MR images based on cascaded fully convolution network.
Zhu Y; Wei R; Gao G; Ding L; Zhang X; Wang X; Zhang J
J Magn Reson Imaging; 2019 Apr; 49(4):1149-1156. PubMed ID: 30350434
[TBL] [Abstract][Full Text] [Related]
6. ParaCM-PNet: A CNN-tokenized MLP combined parallel dual pyramid network for prostate and prostate cancer segmentation in MRI.
Wang W; Pan B; Ai Y; Li G; Fu Y; Liu Y
Comput Biol Med; 2024 Mar; 170():107999. PubMed ID: 38244470
[TBL] [Abstract][Full Text] [Related]
7. Multi-scale discriminative network for prostate cancer lesion segmentation in multiparametric MR images.
Liu Y; Zhu Y; Wang W; Zheng B; Qin X; Wang P
Med Phys; 2022 Nov; 49(11):7001-7015. PubMed ID: 35851482
[TBL] [Abstract][Full Text] [Related]
8. Prostate cancer segmentation from MRI by a multistream fusion encoder.
Jiang M; Yuan B; Kou W; Yan W; Marshall H; Yang Q; Syer T; Punwani S; Emberton M; Barratt DC; Cho CCM; Hu Y; Chiu B
Med Phys; 2023 Sep; 50(9):5489-5504. PubMed ID: 36938883
[TBL] [Abstract][Full Text] [Related]
9. Automated prostate multi-regional segmentation in magnetic resonance using fully convolutional neural networks.
Jimenez-Pastor A; Lopez-Gonzalez R; Fos-Guarinos B; Garcia-Castro F; Wittenberg M; Torregrosa-Andrés A; Marti-Bonmati L; Garcia-Fontes M; Duarte P; Gambini JP; Bittencourt LK; Kitamura FC; Venugopal VK; Mahajan V; Ros P; Soria-Olivas E; Alberich-Bayarri A
Eur Radiol; 2023 Jul; 33(7):5087-5096. PubMed ID: 36690774
[TBL] [Abstract][Full Text] [Related]
10. Synthetic MRI-aided multi-organ segmentation on male pelvic CT using cycle consistent deep attention network.
Dong X; Lei Y; Tian S; Wang T; Patel P; Curran WJ; Jani AB; Liu T; Yang X
Radiother Oncol; 2019 Dec; 141():192-199. PubMed ID: 31630868
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Machine Segmentation of Pelvic Anatomy in MRI-Assisted Radiosurgery (MARS) for Prostate Cancer Brachytherapy.
Sanders JW; Lewis GD; Thames HD; Kudchadker RJ; Venkatesan AM; Bruno TL; Ma J; Pagel MD; Frank SJ
Int J Radiat Oncol Biol Phys; 2020 Dec; 108(5):1292-1303. PubMed ID: 32634543
[TBL] [Abstract][Full Text] [Related]
13. Automatic prostate segmentation of magnetic resonance imaging using Res-Net.
Kumaraswamy AK; Patil CM
MAGMA; 2022 Aug; 35(4):621-630. PubMed ID: 34890013
[TBL] [Abstract][Full Text] [Related]
14. Deep Learning Improves Speed and Accuracy of Prostate Gland Segmentations on Magnetic Resonance Imaging for Targeted Biopsy.
Soerensen SJC; Fan RE; Seetharaman A; Chen L; Shao W; Bhattacharya I; Kim YH; Sood R; Borre M; Chung BI; To'o KJ; Rusu M; Sonn GA
J Urol; 2021 Sep; 206(3):604-612. PubMed ID: 33878887
[TBL] [Abstract][Full Text] [Related]
15. Prostate lesion segmentation based on a 3D end-to-end convolution neural network with deep multi-scale attention.
Song E; Long J; Ma G; Liu H; Hung CC; Jin R; Wang P; Wang W
Magn Reson Imaging; 2023 Jun; 99():98-109. PubMed ID: 36681311
[TBL] [Abstract][Full Text] [Related]
16. Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation.
Wang B; Lei Y; Tian S; Wang T; Liu Y; Patel P; Jani AB; Mao H; Curran WJ; Liu T; Yang X
Med Phys; 2019 Apr; 46(4):1707-1718. PubMed ID: 30702759
[TBL] [Abstract][Full Text] [Related]
17. CT prostate segmentation based on synthetic MRI-aided deep attention fully convolution network.
Lei Y; Dong X; Tian Z; Liu Y; Tian S; Wang T; Jiang X; Patel P; Jani AB; Mao H; Curran WJ; Liu T; Yang X
Med Phys; 2020 Feb; 47(2):530-540. PubMed ID: 31745995
[TBL] [Abstract][Full Text] [Related]
18. Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.
Tang F; Liang S; Zhong T; Huang X; Deng X; Zhang Y; Zhou L
Eur Radiol; 2020 Feb; 30(2):823-832. PubMed ID: 31650265
[TBL] [Abstract][Full Text] [Related]
19. Male pelvic multi-organ segmentation aided by CBCT-based synthetic MRI.
Lei Y; Wang T; Tian S; Dong X; Jani AB; Schuster D; Curran WJ; Patel P; Liu T; Yang X
Phys Med Biol; 2020 Feb; 65(3):035013. PubMed ID: 31851956
[TBL] [Abstract][Full Text] [Related]
20. Encoder-decoder with dense dilated spatial pyramid pooling for prostate MR images segmentation.
Geng L; Wang J; Xiao Z; Tong J; Zhang F; Wu J
Comput Assist Surg (Abingdon); 2019 Oct; 24(sup2):13-19. PubMed ID: 31424279
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
