155 related articles for article (PubMed ID: 31947281)
1. Cascaded CNN for View Independent Breast Segmentation in Thermal Images.
Kakileti ST; Manjunath G; Madhu HJ
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():6294-6297. PubMed ID: 31947281
[TBL] [Abstract][Full Text] [Related]
2. Breast Cancer Identification via Thermography Image Segmentation with a Gradient Vector Flow and a Convolutional Neural Network.
Tello-Mijares S; Woo F; Flores F
J Healthc Eng; 2019; 2019():9807619. PubMed ID: 31915519
[TBL] [Abstract][Full Text] [Related]
3. Geometry-Based Pectoral Muscle Segmentation From MLO Mammogram Views.
Taghanaki SA; Liu Y; Miles B; Hamarneh G
IEEE Trans Biomed Eng; 2017 Nov; 64(11):2662-2671. PubMed ID: 28129144
[TBL] [Abstract][Full Text] [Related]
4. Thermal Imaging Techniques for Breast Screening - A Survey.
S P
Curr Med Imaging; 2020; 16(7):855-862. PubMed ID: 33059555
[TBL] [Abstract][Full Text] [Related]
5. An investigation of the effect of fat suppression and dimensionality on the accuracy of breast MRI segmentation using U-nets.
Fashandi H; Kuling G; Lu Y; Wu H; Martel AL
Med Phys; 2019 Mar; 46(3):1230-1244. PubMed ID: 30609062
[TBL] [Abstract][Full Text] [Related]
6. Mass Segmentation in Automated 3-D Breast Ultrasound Using Adaptive Region Growing and Supervised Edge-Based Deformable Model.
Kozegar E; Soryani M; Behnam H; Salamati M; Tan T
IEEE Trans Med Imaging; 2018 Apr; 37(4):918-928. PubMed ID: 29610071
[TBL] [Abstract][Full Text] [Related]
7. Role of image thermography in early breast cancer detection- Past, present and future.
Singh D; Singh AK
Comput Methods Programs Biomed; 2020 Jan; 183():105074. PubMed ID: 31525547
[TBL] [Abstract][Full Text] [Related]
8. Suspicious-Region Segmentation From Breast Thermogram Using DLPE-Based Level Set Method.
Pramanik S; Banik D; Bhattacharjee D; Nasipuri M; Bhowmik MK; Majumdar G
IEEE Trans Med Imaging; 2019 Feb; 38(2):572-584. PubMed ID: 30176582
[TBL] [Abstract][Full Text] [Related]
9. Knowledge-based and deep learning-based automated chest wall segmentation in magnetic resonance images of extremely dense breasts.
Verburg E; Wolterink JM; de Waard SN; Išgum I; van Gils CH; Veldhuis WB; Gilhuijs KGA
Med Phys; 2019 Oct; 46(10):4405-4416. PubMed ID: 31274194
[TBL] [Abstract][Full Text] [Related]
10. Two-stage ultrasound image segmentation using U-Net and test time augmentation.
Amiri M; Brooks R; Behboodi B; Rivaz H
Int J Comput Assist Radiol Surg; 2020 Jun; 15(6):981-988. PubMed ID: 32350786
[TBL] [Abstract][Full Text] [Related]
11. A Two-Step Segmentation Method for Breast Ultrasound Masses Based on Multi-resolution Analysis.
Rodrigues R; Braz R; Pereira M; Moutinho J; Pinheiro AM
Ultrasound Med Biol; 2015 Jun; 41(6):1737-48. PubMed ID: 25736608
[TBL] [Abstract][Full Text] [Related]
12. An approach to analyze the breast tissues in infrared images using nonlinear adaptive level sets and Riesz transform features.
Prabha S; Suganthi SS; Sujatha CM
Technol Health Care; 2015; 23(4):429-42. PubMed ID: 26409908
[TBL] [Abstract][Full Text] [Related]
13. An Automatic Learning-Based Framework for Robust Nucleus Segmentation.
Xing F; Xie Y; Yang L
IEEE Trans Med Imaging; 2016 Feb; 35(2):550-66. PubMed ID: 26415167
[TBL] [Abstract][Full Text] [Related]
14. Breast cancer diagnosis using thermography and convolutional neural networks.
Ekici S; Jawzal H
Med Hypotheses; 2020 Apr; 137():109542. PubMed ID: 31901878
[TBL] [Abstract][Full Text] [Related]
15. Mammogram segmentation using multi-atlas deformable registration.
Sharma MK; Jas M; Karale V; Sadhu A; Mukhopadhyay S
Comput Biol Med; 2019 Jul; 110():244-253. PubMed ID: 31233970
[TBL] [Abstract][Full Text] [Related]
16. 3D Shape-Weighted Level Set Method for Breast MRI 3D Tumor Segmentation.
Wang CM; Huang CL; Yang SC
J Healthc Eng; 2018; 2018():7097498. PubMed ID: 30008992
[TBL] [Abstract][Full Text] [Related]
17. Automated tumor segmentation in thermographic breast images.
Trongtirakul T; Agaian S; Oulefki A
Math Biosci Eng; 2023 Aug; 20(9):16786-16806. PubMed ID: 37920034
[TBL] [Abstract][Full Text] [Related]
18. Thermal imaging as a tool for evaluating tumor treatment efficacy.
Hoffer OA; Ben-David MA; Katz E; Zoltnik Kirshenabum D; Alezra D; Zimmer Y; Kelson I; Gannot I
J Biomed Opt; 2018 May; 23(5):1-6. PubMed ID: 29726127
[TBL] [Abstract][Full Text] [Related]
19. Segmentation of malignant lesions in 3D breast ultrasound using a depth-dependent model.
Tan T; Gubern-Mérida A; Borelli C; Manniesing R; van Zelst J; Wang L; Zhang W; Platel B; Mann RM; Karssemeijer N
Med Phys; 2016 Jul; 43(7):4074. PubMed ID: 27370126
[TBL] [Abstract][Full Text] [Related]
20. Automated segmentation of digitized mammograms.
Bick U; Giger ML; Schmidt RA; Nishikawa RM; Wolverton DE; Doi K
Acad Radiol; 1995 Jan; 2(1):1-9. PubMed ID: 9419517
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
