161 related articles for article (PubMed ID: 38664436)
1. Automatic brain-tumor diagnosis using cascaded deep convolutional neural networks with symmetric U-Net and asymmetric residual-blocks.
Abd-Ellah MK; Awad AI; Khalaf AAM; Ibraheem AM
Sci Rep; 2024 Apr; 14(1):9501. PubMed ID: 38664436
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. 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]
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. 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]
8. A deep convolutional neural network for the automatic segmentation of glioblastoma brain tumor: Joint spatial pyramid module and attention mechanism network.
Liu H; Huang J; Li Q; Guan X; Tseng M
Artif Intell Med; 2024 Feb; 148():102776. PubMed ID: 38325925
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. [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]
11. 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]
12. Two-headed UNetEfficientNets for parallel execution of segmentation and classification of brain tumors: incorporating postprocessing techniques with connected component labelling.
Rai HM; Yoo J; Dashkevych S
J Cancer Res Clin Oncol; 2024 Apr; 150(4):220. PubMed ID: 38684578
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. Brain tumor classification for MRI images using dual-discriminator conditional generative adversarial network.
Selvi T K; Sumaiya Begum A; Poonkuzhali P; Aarthi R
Electromagn Biol Med; 2024 Apr; 43(1-2):81-94. PubMed ID: 38461438
[TBL] [Abstract][Full Text] [Related]
16. Automatic segmentation of glioblastoma multiform brain tumor in MRI images: Using Deeplabv3+ with pre-trained Resnet18 weights.
Khodadadi Shoushtari F; Sina S; Dehkordi ANV
Phys Med; 2022 Aug; 100():51-63. PubMed ID: 35732092
[TBL] [Abstract][Full Text] [Related]
17. Research and Analysis of Brain Glioma Imaging Based on Deep Learning.
Luo T; Li Y
J Healthc Eng; 2021; 2021():3426080. PubMed ID: 35911847
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Improving brain tumor segmentation on MRI based on the deep U-net and residual units.
Yang T; Song J; Li L; Tang Q
J Xray Sci Technol; 2020; 28(1):95-110. PubMed ID: 31839620
[TBL] [Abstract][Full Text] [Related]
20. Brain tumor segmentation with Deep Neural Networks.
Havaei M; Davy A; Warde-Farley D; Biard A; Courville A; Bengio Y; Pal C; Jodoin PM; Larochelle H
Med Image Anal; 2017 Jan; 35():18-31. PubMed ID: 27310171
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]