130 related articles for article (PubMed ID: 37189279)
1. Survey of Denoising, Segmentation and Classification of Pancreatic Cancer Imaging.
Kaur H; Saini SK; Thakur N; Juneja M
Curr Med Imaging; 2024; 20():e150523216892. PubMed ID: 37189279
[TBL] [Abstract][Full Text] [Related]
2. Applying a radiomics-based CAD scheme to classify between malignant and benign pancreatic tumors using CT images.
Gai T; Thai T; Jones M; Jo J; Zheng B
J Xray Sci Technol; 2022; 30(2):377-388. PubMed ID: 35095015
[TBL] [Abstract][Full Text] [Related]
3. Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features.
Vogl WD; Pinker K; Helbich TH; Bickel H; Grabner G; Bogner W; Gruber S; Bago-Horvath Z; Dubsky P; Langs G
Eur Radiol Exp; 2019 Apr; 3(1):18. PubMed ID: 31030291
[TBL] [Abstract][Full Text] [Related]
4. Comparison of atlas-based techniques for whole-body bone segmentation.
Arabi H; Zaidi H
Med Image Anal; 2017 Feb; 36():98-112. PubMed ID: 27871000
[TBL] [Abstract][Full Text] [Related]
5. Nonlocal Means Denoising of Self-Gated and k-Space Sorted 4-Dimensional Magnetic Resonance Imaging Using Block-Matching and 3-Dimensional Filtering: Implications for Pancreatic Tumor Registration and Segmentation.
Jin J; McKenzie E; Fan Z; Tuli R; Deng Z; Pang J; Fraass B; Li D; Sandler H; Yang G; Sheng K; Gou S; Yang W
Int J Radiat Oncol Biol Phys; 2016 Jul; 95(3):1058-1066. PubMed ID: 27302516
[TBL] [Abstract][Full Text] [Related]
6. Computer-aided detection and segmentation of malignant melanoma lesions on whole-body
Dirks I; Keyaerts M; Neyns B; Vandemeulebroucke J
Comput Methods Programs Biomed; 2022 Jun; 221():106902. PubMed ID: 35636357
[TBL] [Abstract][Full Text] [Related]
7. Automated computer quantification of breast cancer in small-animal models using PET-guided MR image co-segmentation.
Bagci U; Kramer-Marek G; Mollura DJ
EJNMMI Res; 2013 Jul; 3(1):49. PubMed ID: 23829944
[TBL] [Abstract][Full Text] [Related]
8. More advantages in detecting bone and soft tissue metastases from prostate cancer using
Pianou NK; Stavrou PZ; Vlontzou E; Rondogianni P; Exarhos DN; Datseris IE
Hell J Nucl Med; 2019; 22(1):6-9. PubMed ID: 30843003
[TBL] [Abstract][Full Text] [Related]
9. Automated segmentation of lesions and organs at risk on [
Yazdani E; Karamzadeh-Ziarati N; Cheshmi SS; Sadeghi M; Geramifar P; Vosoughi H; Jahromi MK; Kheradpisheh SR
Cancer Imaging; 2024 Feb; 24(1):30. PubMed ID: 38424612
[TBL] [Abstract][Full Text] [Related]
10. Joint solution for PET image segmentation, denoising, and partial volume correction.
Xu Z; Gao M; Papadakis GZ; Luna B; Jain S; Mollura DJ; Bagci U
Med Image Anal; 2018 May; 46():229-243. PubMed ID: 29627687
[TBL] [Abstract][Full Text] [Related]
11. Deep Learning Approaches Towards Skin Lesion Segmentation and Classification from Dermoscopic Images - A Review.
Baig R; Bibi M; Hamid A; Kausar S; Khalid S
Curr Med Imaging; 2020; 16(5):513-533. PubMed ID: 32484086
[TBL] [Abstract][Full Text] [Related]
12. A dual meta-learning framework based on idle data for enhancing segmentation of pancreatic cancer.
Li J; Qi L; Chen Q; Zhang YD; Qian X
Med Image Anal; 2022 May; 78():102342. PubMed ID: 35354108
[TBL] [Abstract][Full Text] [Related]
13. A multidomain fusion model of radiomics and deep learning to discriminate between PDAC and AIP based on
Wei W; Jia G; Wu Z; Wang T; Wang H; Wei K; Cheng C; Liu Z; Zuo C
Jpn J Radiol; 2023 Apr; 41(4):417-427. PubMed ID: 36409398
[TBL] [Abstract][Full Text] [Related]
14. A computational pipeline for quantification of pulmonary infections in small animal models using serial PET-CT imaging.
Bagci U; Foster B; Miller-Jaster K; Luna B; Dey B; Bishai WR; Jonsson CB; Jain S; Mollura DJ
EJNMMI Res; 2013 Jul; 3(1):55. PubMed ID: 23879987
[TBL] [Abstract][Full Text] [Related]
15. Segmentation improvement through denoising of PET images with 3D-context modelling in wavelet domain.
Huerga C; Glaría L; Castro P; Alejo L; Bayón J; Guibelalde E
Phys Med; 2018 Sep; 53():62-71. PubMed ID: 30241756
[TBL] [Abstract][Full Text] [Related]
16. A radiomics-incorporated deep ensemble learning model for multi-parametric MRI-based glioma segmentation.
Chen Y; Yang Z; Zhao J; Adamson J; Sheng Y; Yin FF; Wang C
Phys Med Biol; 2023 Sep; 68(18):. PubMed ID: 37586382
[No Abstract] [Full Text] [Related]
17. MRI-guided attenuation correction in torso PET/MRI: Assessment of segmentation-, atlas-, and deep learning-based approaches in the presence of outliers.
Arabi H; Zaidi H
Magn Reson Med; 2022 Feb; 87(2):686-701. PubMed ID: 34480771
[TBL] [Abstract][Full Text] [Related]
18. Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space.
Fallahpoor M; Chakraborty S; Pradhan B; Faust O; Barua PD; Chegeni H; Acharya R
Comput Methods Programs Biomed; 2024 Jan; 243():107880. PubMed ID: 37924769
[TBL] [Abstract][Full Text] [Related]
19. Diagnostic value of integrated PET/MRI for detection and localization of prostate cancer: Comparative study of multiparametric MRI and PET/CT.
Lee MS; Cho JY; Kim SY; Cheon GJ; Moon MH; Oh S; Lee J; Lee S; Woo S; Kim SH
J Magn Reson Imaging; 2017 Feb; 45(2):597-609. PubMed ID: 27586519
[TBL] [Abstract][Full Text] [Related]
20. Robust spatial fuzzy GMM based MRI segmentation and carotid artery plaque detection in ultrasound images.
Hassan M; Murtza I; Hira A; Ali S; Kifayat K
Comput Methods Programs Biomed; 2019 Jul; 175():179-192. PubMed ID: 31104706
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]