498 related articles for article (PubMed ID: 31005007)
1. A novel end-to-end brain tumor segmentation method using improved fully convolutional networks.
Li H; Li A; Wang M
Comput Biol Med; 2019 May; 108():150-160. PubMed ID: 31005007
[TBL] [Abstract][Full Text] [Related]
2. An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm.
Wu W; Li D; Du J; Gao X; Gu W; Zhao F; Feng X; Yan H
Comput Math Methods Med; 2020; 2020():6789306. PubMed ID: 32733596
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. [Fully Automatic Glioma Segmentation Algorithm of Magnetic Resonance Imaging Based on 3D-UNet With More Global Contextual Feature Extraction: An Improvement on Insufficient Extraction of Global Features].
Tian H; Wang Y; Ji Y; Rahman MM
Sichuan Da Xue Xue Bao Yi Xue Ban; 2024 Mar; 55(2):447-454. PubMed ID: 38645864
[TBL] [Abstract][Full Text] [Related]
5. Fully automated segmentation of brain tumor from multiparametric MRI using 3D context deep supervised U-Net.
Lin M; Momin S; Lei Y; Wang H; Curran WJ; Liu T; Yang X
Med Phys; 2021 Aug; 48(8):4365-4374. PubMed ID: 34101845
[TBL] [Abstract][Full Text] [Related]
6. Automatic Semantic Segmentation of Brain Gliomas from MRI Images Using a Deep Cascaded Neural Network.
Cui S; Mao L; Jiang J; Liu C; Xiong S
J Healthc Eng; 2018; 2018():4940593. PubMed ID: 29755716
[TBL] [Abstract][Full Text] [Related]
7. Cascaded mutual enhancing networks for brain tumor subregion segmentation in multiparametric MRI.
Momin S; Lei Y; Tian Z; Roper J; Lin J; Kahn S; Shu HK; Bradley J; Liu T; Yang X
Phys Med Biol; 2022 Apr; 67(8):. PubMed ID: 35299156
[TBL] [Abstract][Full Text] [Related]
8. Automated glioma grading on conventional MRI images using deep convolutional neural networks.
Zhuge Y; Ning H; Mathen P; Cheng JY; Krauze AV; Camphausen K; Miller RW
Med Phys; 2020 Jul; 47(7):3044-3053. PubMed ID: 32277478
[TBL] [Abstract][Full Text] [Related]
9. 3D dense connectivity network with atrous convolutional feature pyramid for brain tumor segmentation in magnetic resonance imaging of human heads.
Zhou Z; He Z; Shi M; Du J; Chen D
Comput Biol Med; 2020 Jun; 121():103766. PubMed ID: 32568669
[TBL] [Abstract][Full Text] [Related]
10. Brain tumor segmentation using holistically nested neural networks in MRI images.
Zhuge Y; Krauze AV; Ning H; Cheng JY; Arora BC; Camphausen K; Miller RW
Med Phys; 2017 Oct; 44(10):5234-5243. PubMed ID: 28736864
[TBL] [Abstract][Full Text] [Related]
11. SDResU-Net: Separable and Dilated Residual U-Net for MRI Brain Tumor Segmentation.
Zhang J; Lv X; Sun Q; Zhang Q; Wei X; Liu B
Curr Med Imaging; 2020; 16(6):720-728. PubMed ID: 32723244
[TBL] [Abstract][Full Text] [Related]
12. Fully Automatic Brain Tumor Segmentation using End-To-End Incremental Deep Neural Networks in MRI images.
Naceur MB; Saouli R; Akil M; Kachouri R
Comput Methods Programs Biomed; 2018 Nov; 166():39-49. PubMed ID: 30415717
[TBL] [Abstract][Full Text] [Related]
13. An Efficient Implementation of Deep Convolutional Neural Networks for MRI Segmentation.
Hoseini F; Shahbahrami A; Bayat P
J Digit Imaging; 2018 Oct; 31(5):738-747. PubMed ID: 29488179
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. DeepSeg: deep neural network framework for automatic brain tumor segmentation using magnetic resonance FLAIR images.
Zeineldin RA; Karar ME; Coburger J; Wirtz CR; Burgert O
Int J Comput Assist Radiol Surg; 2020 Jun; 15(6):909-920. PubMed ID: 32372386
[TBL] [Abstract][Full Text] [Related]
16. Brain tumor segmentation in multi-spectral MRI using convolutional neural networks (CNN).
Iqbal S; Ghani MU; Saba T; Rehman A
Microsc Res Tech; 2018 Apr; 81(4):419-427. PubMed ID: 29356229
[TBL] [Abstract][Full Text] [Related]
17. Application of deep learning for automatic segmentation of brain tumors on magnetic resonance imaging: a heuristic approach in the clinical scenario.
Di Ieva A; Russo C; Liu S; Jian A; Bai MY; Qian Y; Magnussen JS
Neuroradiology; 2021 Aug; 63(8):1253-1262. PubMed ID: 33501512
[TBL] [Abstract][Full Text] [Related]
18. DFP-ResUNet:Convolutional Neural Network with a Dilated Convolutional Feature Pyramid for Multimodal Brain Tumor Segmentation.
Wang J; Gao J; Ren J; Luan Z; Yu Z; Zhao Y; Zhao Y
Comput Methods Programs Biomed; 2021 Sep; 208():106208. PubMed ID: 34174763
[TBL] [Abstract][Full Text] [Related]
19. Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images.
Pereira S; Pinto A; Alves V; Silva CA
IEEE Trans Med Imaging; 2016 May; 35(5):1240-1251. PubMed ID: 26960222
[TBL] [Abstract][Full Text] [Related]
20. Fully automatic brain tumor segmentation with deep learning-based selective attention using overlapping patches and multi-class weighted cross-entropy.
Ben Naceur M; Akil M; Saouli R; Kachouri R
Med Image Anal; 2020 Jul; 63():101692. PubMed ID: 32417714
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
