203 related articles for article (PubMed ID: 35455906)
21. An unsupervised automatic segmentation algorithm for breast tissue classification of dedicated breast computed tomography images.
Caballo M; Boone JM; Mann R; Sechopoulos I
Med Phys; 2018 Jun; 45(6):2542-2559. PubMed ID: 29676025
[TBL] [Abstract][Full Text] [Related]
22. Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images.
Orlando N; Gillies DJ; Gyacskov I; Romagnoli C; D'Souza D; Fenster A
Med Phys; 2020 Jun; 47(6):2413-2426. PubMed ID: 32166768
[TBL] [Abstract][Full Text] [Related]
23. A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.
Al-Antari MA; Al-Masni MA; Choi MT; Han SM; Kim TS
Int J Med Inform; 2018 Sep; 117():44-54. PubMed ID: 30032964
[TBL] [Abstract][Full Text] [Related]
24. Deep weakly-supervised breast tumor segmentation in ultrasound images with explicit anatomical constraints.
Li Y; Liu Y; Huang L; Wang Z; Luo J
Med Image Anal; 2022 Feb; 76():102315. PubMed ID: 34902792
[TBL] [Abstract][Full Text] [Related]
25. Semi-Supervised Segmentation Framework for Gastrointestinal Lesion Diagnosis in Endoscopic Images.
Lonseko ZM; Du W; Adjei PE; Luo C; Hu D; Gan T; Zhu L; Rao N
J Pers Med; 2023 Jan; 13(1):. PubMed ID: 36675779
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Fully automated lesion segmentation and visualization in automated whole breast ultrasound (ABUS) images.
Lee CY; Chang TF; Chou YH; Yang KC
Quant Imaging Med Surg; 2020 Mar; 10(3):568-584. PubMed ID: 32269918
[TBL] [Abstract][Full Text] [Related]
28. When deep learning is not enough: artificial life as a supplementary tool for segmentation of ultrasound images of breast cancer.
Karunanayake N; Makhanov SS
Med Biol Eng Comput; 2024 Mar; ():. PubMed ID: 38498125
[TBL] [Abstract][Full Text] [Related]
29. Deep Learning Computer-Aided Diagnosis for Breast Lesion in Digital Mammogram.
Al-Antari MA; Al-Masni MA; Kim TS
Adv Exp Med Biol; 2020; 1213():59-72. PubMed ID: 32030663
[TBL] [Abstract][Full Text] [Related]
30. Automated deep learning method for whole-breast segmentation in diffusion-weighted breast MRI.
Zhang L; Mohamed AA; Chai R; Guo Y; Zheng B; Wu S
J Magn Reson Imaging; 2020 Feb; 51(2):635-643. PubMed ID: 31301201
[TBL] [Abstract][Full Text] [Related]
31. Breast tumor segmentation in 3D automatic breast ultrasound using Mask scoring R-CNN.
Lei Y; He X; Yao J; Wang T; Wang L; Li W; Curran WJ; Liu T; Xu D; Yang X
Med Phys; 2021 Jan; 48(1):204-214. PubMed ID: 33128230
[TBL] [Abstract][Full Text] [Related]
32. Semi Supervised Learning with Deep Embedded Clustering for Image Classification and Segmentation.
Enguehard J; O'Halloran P; Gholipour A
IEEE Access; 2019; 7():11093-11104. PubMed ID: 31588387
[TBL] [Abstract][Full Text] [Related]
33. Effect of dataset size, image quality, and image type on deep learning-based automatic prostate segmentation in 3D ultrasound.
Orlando N; Gyacskov I; Gillies DJ; Guo F; Romagnoli C; D'Souza D; Cool DW; Hoover DA; Fenster A
Phys Med Biol; 2022 Mar; 67(7):. PubMed ID: 35240585
[TBL] [Abstract][Full Text] [Related]
34. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
Tong N; Gou S; Yang S; Ruan D; Sheng K
Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
[TBL] [Abstract][Full Text] [Related]
35. Feature Pyramid Nonlocal Network With Transform Modal Ensemble Learning for Breast Tumor Segmentation in Ultrasound Images.
Tang P; Yang X; Nan Y; Xiang S; Liang Q
IEEE Trans Ultrason Ferroelectr Freq Control; 2021 Dec; 68(12):3549-3559. PubMed ID: 34280097
[TBL] [Abstract][Full Text] [Related]
36. Toward data-efficient learning: A benchmark for COVID-19 CT lung and infection segmentation.
Ma J; Wang Y; An X; Ge C; Yu Z; Chen J; Zhu Q; Dong G; He J; He Z; Cao T; Zhu Y; Nie Z; Yang X
Med Phys; 2021 Mar; 48(3):1197-1210. PubMed ID: 33354790
[TBL] [Abstract][Full Text] [Related]
37. Automatic Identification of Breast Ultrasound Image Based on Supervised Block-Based Region Segmentation Algorithm and Features Combination Migration Deep Learning Model.
Liao WX; He P; Hao J; Wang XY; Yang RL; An D; Cui LG
IEEE J Biomed Health Inform; 2020 Apr; 24(4):984-993. PubMed ID: 31869809
[TBL] [Abstract][Full Text] [Related]
38. Attention-VGG16-UNet: a novel deep learning approach for automatic segmentation of the median nerve in ultrasound images.
Huang A; Jiang L; Zhang J; Wang Q
Quant Imaging Med Surg; 2022 Jun; 12(6):3138-3150. PubMed ID: 35655843
[TBL] [Abstract][Full Text] [Related]
39. MSF-GAN: Multi-Scale Fuzzy Generative Adversarial Network for Breast Ultrasound Image Segmentation.
Huang K; Zhang Y; Cheng HD; Xing P
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3193-3196. PubMed ID: 34891920
[TBL] [Abstract][Full Text] [Related]
40. A novel breast ultrasound image segmentation algorithm based on neutrosophic similarity score and level set.
Guo Y; Şengür A; Tian JW
Comput Methods Programs Biomed; 2016 Jan; 123():43-53. PubMed ID: 26483304
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]