208 related articles for article (PubMed ID: 35737636)
41. Utilization of image interpolation and fusion in brain tumor segmentation.
El-Hag NA; Sedik A; El-Banby GM; El-Shafai W; Khalaf AAM; Al-Nuaimy W; Abd El-Samie FE; El-Hoseny HM
Int J Numer Method Biomed Eng; 2021 Aug; 37(8):e3449. PubMed ID: 33599091
[TBL] [Abstract][Full Text] [Related]
42. Brain tumor segmentation on Multimodal MRI scans using EMAP Algorithm.
Anwar SM; Yousaf S; Majid M
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():550-553. PubMed ID: 30440456
[TBL] [Abstract][Full Text] [Related]
43. Using deep learning to segment breast and fibroglandular tissue in MRI volumes.
Dalmış MU; Litjens G; Holland K; Setio A; Mann R; Karssemeijer N; Gubern-Mérida A
Med Phys; 2017 Feb; 44(2):533-546. PubMed ID: 28035663
[TBL] [Abstract][Full Text] [Related]
44. A segmentation of brain MRI images utilizing intensity and contextual information by Markov random field.
Chen M; Yan Q; Qin M
Comput Assist Surg (Abingdon); 2017 Dec; 22(sup1):200-211. PubMed ID: 29072503
[TBL] [Abstract][Full Text] [Related]
45. Brain tumor segmentation in MRI images using nonparametric localization and enhancement methods with U-net.
Ilhan A; Sekeroglu B; Abiyev R
Int J Comput Assist Radiol Surg; 2022 Mar; 17(3):589-600. PubMed ID: 35092598
[TBL] [Abstract][Full Text] [Related]
46. Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology.
Rachmadi MF; Valdés-Hernández MDC; Agan MLF; Di Perri C; Komura T;
Comput Med Imaging Graph; 2018 Jun; 66():28-43. PubMed ID: 29523002
[TBL] [Abstract][Full Text] [Related]
47. Efficient Segmentation of Brain Tumor Using FL-SNM with a Metaheuristic Approach to Optimization.
Natarajan A; Kumarasamy S
J Med Syst; 2019 Jan; 43(2):25. PubMed ID: 30604101
[TBL] [Abstract][Full Text] [Related]
48. MRI Gibbs-ringing artifact reduction by means of machine learning using convolutional neural networks.
Zhang Q; Ruan G; Yang W; Liu Y; Zhao K; Feng Q; Chen W; Wu EX; Feng Y
Magn Reson Med; 2019 Dec; 82(6):2133-2145. PubMed ID: 31373061
[TBL] [Abstract][Full Text] [Related]
49. Deep learning-based automatic segmentation of images in cardiac radiography: A promising challenge.
Song Y; Ren S; Lu Y; Fu X; Wong KKL
Comput Methods Programs Biomed; 2022 Jun; 220():106821. PubMed ID: 35487181
[TBL] [Abstract][Full Text] [Related]
50. Semiautomatic Segmentation of Glioma on Mobile Devices.
Wu YP; Lin YS; Wu WG; Yang C; Gu JQ; Bai Y; Wang MY
J Healthc Eng; 2017; 2017():8054939. PubMed ID: 29065648
[TBL] [Abstract][Full Text] [Related]
51. A Novel Distributed Multitask Fuzzy Clustering Algorithm for Automatic MR Brain Image Segmentation.
Jiang Y; Zhao K; Xia K; Xue J; Zhou L; Ding Y; Qian P
J Med Syst; 2019 Mar; 43(5):118. PubMed ID: 30911929
[TBL] [Abstract][Full Text] [Related]
52. Stable Atlas-based Mapped Prior (STAMP) machine-learning segmentation for multicenter large-scale MRI data.
Kim EY; Magnotta VA; Liu D; Johnson HJ
Magn Reson Imaging; 2014 Sep; 32(7):832-44. PubMed ID: 24818817
[TBL] [Abstract][Full Text] [Related]
53. Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images.
Thaha MM; Kumar KPM; Murugan BS; Dhanasekeran S; Vijayakarthick P; Selvi AS
J Med Syst; 2019 Jul; 43(9):294. PubMed ID: 31342192
[TBL] [Abstract][Full Text] [Related]
54. Concatenated and Connected Random Forests With Multiscale Patch Driven Active Contour Model for Automated Brain Tumor Segmentation of MR Images.
Ma C; Luo G; Wang K
IEEE Trans Med Imaging; 2018 Aug; 37(8):1943-1954. PubMed ID: 29994627
[TBL] [Abstract][Full Text] [Related]
55. Research related to the diagnosis of prostate cancer based on machine learning medical images: A review.
Chen X; Liu X; Wu Y; Wang Z; Wang SH
Int J Med Inform; 2024 Jan; 181():105279. PubMed ID: 37977054
[TBL] [Abstract][Full Text] [Related]
56. Tumor or abnormality identification from magnetic resonance images using statistical region fusion based segmentation.
Subudhi BN; Thangaraj V; Sankaralingam E; Ghosh A
Magn Reson Imaging; 2016 Nov; 34(9):1292-1304. PubMed ID: 27477599
[TBL] [Abstract][Full Text] [Related]
57. A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images.
William W; Ware A; Basaza-Ejiri AH; Obungoloch J
Comput Methods Programs Biomed; 2018 Oct; 164():15-22. PubMed ID: 30195423
[TBL] [Abstract][Full Text] [Related]
58. Automated assessment of thigh composition using machine learning for Dixon magnetic resonance images.
Yang YX; Chong MS; Tay L; Yew S; Yeo A; Tan CH
MAGMA; 2016 Oct; 29(5):723-31. PubMed ID: 27026244
[TBL] [Abstract][Full Text] [Related]
59. Comparative study of algorithms for synthetic CT generation from MRI: Consequences for MRI-guided radiation planning in the pelvic region.
Arabi H; Dowling JA; Burgos N; Han X; Greer PB; Koutsouvelis N; Zaidi H
Med Phys; 2018 Nov; 45(11):5218-5233. PubMed ID: 30216462
[TBL] [Abstract][Full Text] [Related]
60. 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]
[Previous] [Next] [New Search]
