BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

134 related articles for article (PubMed ID: 35065458)

  • 21. A comparative study of pre-trained convolutional neural networks for semantic segmentation of breast tumors in ultrasound.
    Gómez-Flores W; Coelho de Albuquerque Pereira W
    Comput Biol Med; 2020 Nov; 126():104036. PubMed ID: 33059238
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Joint segmentation and classification of hepatic lesions in ultrasound images using deep learning.
    Ryu H; Shin SY; Lee JY; Lee KM; Kang HJ; Yi J
    Eur Radiol; 2021 Nov; 31(11):8733-8742. PubMed ID: 33881566
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Detection and Weak Segmentation of Masses in Gray-Scale Breast Mammogram Images Using Deep Learning.
    Kim YJ; Kim KG
    Yonsei Med J; 2022 Jan; 63(Suppl):S63-S73. PubMed ID: 35040607
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Automated and real-time segmentation of suspicious breast masses using convolutional neural network.
    Kumar V; Webb JM; Gregory A; Denis M; Meixner DD; Bayat M; Whaley DH; Fatemi M; Alizad A
    PLoS One; 2018; 13(5):e0195816. PubMed ID: 29768415
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Breast Tumor Classification using Short-ResNet with Pixel-based Tumor Probability Map in Ultrasound Images.
    Wang YW; Kuo TT; Chou YH; Su Y; Huang SH; Chen CJ
    Ultrason Imaging; 2023 Mar; 45(2):74-84. PubMed ID: 36951105
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Comparison of 3D and 2D shear-wave elastography for differentiating benign and malignant breast masses: focus on the diagnostic performance.
    Choi HY; Sohn YM; Seo M
    Clin Radiol; 2017 Oct; 72(10):878-886. PubMed ID: 28526455
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Semi-supervised GAN-based Radiomics Model for Data Augmentation in Breast Ultrasound Mass Classification.
    Pang T; Wong JHD; Ng WL; Chan CS
    Comput Methods Programs Biomed; 2021 May; 203():106018. PubMed ID: 33714900
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Detection and Monitoring of Thermal Lesions Induced by Microwave Ablation Using Ultrasound Imaging and Convolutional Neural Networks.
    Zhang S; Wu S; Shang S; Qin X; Jia X; Li D; Cui Z; Xu T; Niu G; Bouakaz A; Wan M
    IEEE J Biomed Health Inform; 2020 Apr; 24(4):965-973. PubMed ID: 31502996
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Evaluating the performance of convolutional neural networks with direct acyclic graph architectures in automatic segmentation of breast lesion in US images.
    Costa MGF; Campos JPM; de Aquino E Aquino G; de Albuquerque Pereira WC; Costa Filho CFF
    BMC Med Imaging; 2019 Nov; 19(1):85. PubMed ID: 31703642
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Medical breast ultrasound image segmentation by machine learning.
    Xu Y; Wang Y; Yuan J; Cheng Q; Wang X; Carson PL
    Ultrasonics; 2019 Jan; 91():1-9. PubMed ID: 30029074
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Breast ultrasound image segmentation: A coarse-to-fine fusion convolutional neural network.
    Wang K; Liang S; Zhong S; Feng Q; Ning Z; Zhang Y
    Med Phys; 2021 Aug; 48(8):4262-4278. PubMed ID: 34053092
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Global guidance network for breast lesion segmentation in ultrasound images.
    Xue C; Zhu L; Fu H; Hu X; Li X; Zhang H; Heng PA
    Med Image Anal; 2021 May; 70():101989. PubMed ID: 33640719
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Transfer Learning From Convolutional Neural Networks for Computer-Aided Diagnosis: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography.
    Mendel K; Li H; Sheth D; Giger M
    Acad Radiol; 2019 Jun; 26(6):735-743. PubMed ID: 30076083
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Tumor segmentation in automated whole breast ultrasound using bidirectional LSTM neural network and attention mechanism.
    Pan P; Chen H; Li Y; Cai N; Cheng L; Wang S
    Ultrasonics; 2021 Feb; 110():106271. PubMed ID: 33166786
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. Computer-aided diagnosis system for breast ultrasound images using deep learning.
    Tanaka H; Chiu SW; Watanabe T; Kaoku S; Yamaguchi T
    Phys Med Biol; 2019 Dec; 64(23):235013. PubMed ID: 31645021
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Enhancement of Multimodal Microwave-Ultrasound Breast Imaging Using a Deep-Learning Technique.
    Khoshdel V; Ashraf A; LoVetri J
    Sensors (Basel); 2019 Sep; 19(18):. PubMed ID: 31546925
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A multiple-channel and atrous convolution network for ultrasound image segmentation.
    Zhang L; Zhang J; Li Z; Song Y
    Med Phys; 2020 Dec; 47(12):6270-6285. PubMed ID: 33007105
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Channel Attention Module With Multiscale Grid Average Pooling for Breast Cancer Segmentation in an Ultrasound Image.
    Lee H; Park J; Hwang JY
    IEEE Trans Ultrason Ferroelectr Freq Control; 2020 Jul; 67(7):1344-1353. PubMed ID: 32054578
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Complex Convolutional Neural Networks for Ultrafast Ultrasound Imaging Reconstruction From In-Phase/Quadrature Signal.
    Lu J; Millioz F; Garcia D; Salles S; Ye D; Friboulet D
    IEEE Trans Ultrason Ferroelectr Freq Control; 2022 Feb; 69(2):592-603. PubMed ID: 34767508
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.