These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

180 related articles for article (PubMed ID: 32704611)

  • 1. Automated Sagittal Craniosynostosis Classification from CT Images Using Transfer Learning.
    You L; Zhang G; Zhao W; R MG; David L; Zhou X
    Clin Surg; 2020 Feb; 5():. PubMed ID: 32704611
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Objective classification system for sagittal craniosynostosis based on suture segmentation.
    Qian X; Tan H; Zhang J; Zhuang X; Branch L; Sanger C; Thompson A; Zhao W; Li KC; David L; Zhou X
    Med Phys; 2015 Sep; 42(9):5545-58. PubMed ID: 26329001
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images.
    Pang S; Yu Z; Orgun MA
    Comput Methods Programs Biomed; 2017 Mar; 140():283-293. PubMed ID: 28254085
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Application of Imaging Examination Based on Deep Learning in the Diagnosis of Viral Senile Pneumonia.
    Deng X; Ge X; Xue Q; Liu H
    Contrast Media Mol Imaging; 2022; 2022():6964283. PubMed ID: 35694707
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep feature classification of angiomyolipoma without visible fat and renal cell carcinoma in abdominal contrast-enhanced CT images with texture image patches and hand-crafted feature concatenation.
    Lee H; Hong H; Kim J; Jung DC
    Med Phys; 2018 Apr; 45(4):1550-1561. PubMed ID: 29474742
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Improving segmentation and classification of renal tumors in small sample 3D CT images using transfer learning with convolutional neural networks.
    Zhu XL; Shen HB; Sun H; Duan LX; Xu YY
    Int J Comput Assist Radiol Surg; 2022 Jul; 17(7):1303-1311. PubMed ID: 35290645
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A deep learning- and partial least square regression-based model observer for a low-contrast lesion detection task in CT.
    Gong H; Yu L; Leng S; Dilger SK; Ren L; Zhou W; Fletcher JG; McCollough CH
    Med Phys; 2019 May; 46(5):2052-2063. PubMed ID: 30889282
    [TBL] [Abstract][Full Text] [Related]  

  • 8. AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy.
    Zhu W; Huang Y; Zeng L; Chen X; Liu Y; Qian Z; Du N; Fan W; Xie X
    Med Phys; 2019 Feb; 46(2):576-589. PubMed ID: 30480818
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Sanders classification of calcaneal fractures in CT images with deep learning and differential data augmentation techniques.
    Aghnia Farda N; Lai JY; Wang JC; Lee PY; Liu JW; Hsieh IH
    Injury; 2021 Mar; 52(3):616-624. PubMed ID: 32962829
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Modeling a deep transfer learning framework for the classification of COVID-19 radiology dataset.
    Fayemiwo MA; Olowookere TA; Arekete SA; Ogunde AO; Odim MO; Oguntunde BO; Olaniyan OO; Ojewumi TO; Oyetade IS; Aremu AA; Kayode AA
    PeerJ Comput Sci; 2021; 7():e614. PubMed ID: 34435093
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A deep learning approach to direct immunofluorescence pattern recognition in autoimmune bullous diseases.
    Capurro N; Pastore VP; Touijer L; Odone F; Cozzani E; Gasparini G; Parodi A
    Br J Dermatol; 2024 Jul; 191(2):261-266. PubMed ID: 38581445
    [TBL] [Abstract][Full Text] [Related]  

  • 12. SkinNet-INIO: Multiclass Skin Lesion Localization and Classification Using Fusion-Assisted Deep Neural Networks and Improved Nature-Inspired Optimization Algorithm.
    Hussain M; Khan MA; Damaševičius R; Alasiry A; Marzougui M; Alhaisoni M; Masood A
    Diagnostics (Basel); 2023 Sep; 13(18):. PubMed ID: 37761236
    [No Abstract]   [Full Text] [Related]  

  • 13. Hierarchical Recurrent Neural Hashing for Image Retrieval With Hierarchical Convolutional Features.
    Lu X; Chen Y; Li X
    IEEE Trans Image Process; 2018 Jan.; 27(1):106-120. PubMed ID: 28952940
    [TBL] [Abstract][Full Text] [Related]  

  • 14. MR-based synthetic CT generation using a deep convolutional neural network method.
    Han X
    Med Phys; 2017 Apr; 44(4):1408-1419. PubMed ID: 28192624
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automated detection of COVID-19 using ensemble of transfer learning with deep convolutional neural network based on CT scans.
    Gifani P; Shalbaf A; Vafaeezadeh M
    Int J Comput Assist Radiol Surg; 2021 Jan; 16(1):115-123. PubMed ID: 33191476
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Evaluation of a multiview architecture for automatic vertebral labeling of palliative radiotherapy simulation CT images.
    Netherton TJ; Rhee DJ; Cardenas CE; Chung C; Klopp AH; Peterson CB; Howell RM; Balter PA; Court LE
    Med Phys; 2020 Nov; 47(11):5592-5608. PubMed ID: 33459402
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An intelligence design for detection and classification of COVID19 using fusion of classical and convolutional neural network and improved microscopic features selection approach.
    Amin J; Anjum MA; Sharif M; Saba T; Tariq U
    Microsc Res Tech; 2021 Oct; 84(10):2254-2267. PubMed ID: 33964096
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automated glioma grading on conventional MRI images using deep convolutional neural networks.
    Zhuge Y; Ning H; Mathen P; Cheng JY; Krauze AV; Camphausen K; Miller RW
    Med Phys; 2020 Jul; 47(7):3044-3053. PubMed ID: 32277478
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Fusing hand-crafted and deep-learning features in a convolutional neural network model to identify prostate cancer in pathology images.
    Huang X; Li Z; Zhang M; Gao S
    Front Oncol; 2022; 12():994950. PubMed ID: 36237311
    [TBL] [Abstract][Full Text] [Related]  

  • 20. White blood cells identification system based on convolutional deep neural learning networks.
    Shahin AI; Guo Y; Amin KM; Sharawi AA
    Comput Methods Programs Biomed; 2019 Jan; 168():69-80. PubMed ID: 29173802
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.