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 *

127 related articles for article (PubMed ID: 34631543)

  • 1. Rectal Cancer Treatment Management: Deep-Learning Neural Network Based on Photoacoustic Microscopy Image Outperforms Histogram-Feature-Based Classification.
    Leng X; Amidi E; Kou S; Cheema H; Otegbeye E; Chapman WJ; Mutch M; Zhu Q
    Front Oncol; 2021; 11():715332. PubMed ID: 34631543
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Assessing Rectal Cancer Treatment Response Using Coregistered Endorectal Photoacoustic and US Imaging Paired with Deep Learning.
    Leng X; Uddin KMS; Chapman W; Luo H; Kou S; Amidi E; Yang G; Chatterjee D; Shetty A; Hunt S; Mutch M; Zhu Q
    Radiology; 2021 May; 299(2):349-358. PubMed ID: 33754826
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Photoacoustic microscopy with sparse data by convolutional neural networks.
    Zhou J; He D; Shang X; Guo Z; Chen SL; Luo J
    Photoacoustics; 2021 Jun; 22():100242. PubMed ID: 33763327
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A deep dive into understanding tumor foci classification using multiparametric MRI based on convolutional neural network.
    Zong W; Lee JK; Liu C; Carver EN; Feldman AM; Janic B; Elshaikh MA; Pantelic MV; Hearshen D; Chetty IJ; Movsas B; Wen N
    Med Phys; 2020 Sep; 47(9):4077-4086. PubMed ID: 32449176
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep Learning.
    DiSpirito A; Li D; Vu T; Chen M; Zhang D; Luo J; Horstmeyer R; Yao J
    IEEE Trans Med Imaging; 2021 Feb; 40(2):562-570. PubMed ID: 33064648
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Adaptive enhancement of acoustic resolution photoacoustic microscopy imaging
    Zhang Z; Jin H; Zhang W; Lu W; Zheng Z; Sharma A; Pramanik M; Zheng Y
    Photoacoustics; 2023 Apr; 30():100484. PubMed ID: 37095888
    [TBL] [Abstract][Full Text] [Related]  

  • 7. High-fidelity deconvolution for acoustic-resolution photoacoustic microscopy enabled by convolutional neural networks.
    Feng F; Liang S; Luo J; Chen SL
    Photoacoustics; 2022 Jun; 26():100360. PubMed ID: 35574187
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A practical evaluation of machine learning for classification of ultrasound images of ovarian development in channel catfish
    Graham CA; Shamkhalichenar H; Browning VE; Byrd VJ; Liu Y; Gutierrez-Wing MT; Novelo N; Choi JW; Tierschc TR
    Aquaculture; 2022 Apr; 552():. PubMed ID: 35296028
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning.
    Wang Y; Choi EJ; Choi Y; Zhang H; Jin GY; Ko SB
    Ultrasound Med Biol; 2020 May; 46(5):1119-1132. PubMed ID: 32059918
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automatic cancer tissue detection using multispectral photoacoustic imaging.
    Jnawali K; Chinni B; Dogra V; Rao N
    Int J Comput Assist Radiol Surg; 2020 Feb; 15(2):309-320. PubMed ID: 31865531
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Application of convolutional neural network to risk evaluation of positive circumferential resection margin of rectal cancer by magnetic resonance imaging].
    Xu JH; Zhou XM; Ma JL; Liu SS; Zhang MS; Zheng XF; Zhang XY; Liu GW; Zhang XX; Lu Y; Wang DS
    Zhonghua Wei Chang Wai Ke Za Zhi; 2020 Jun; 23(6):572-577. PubMed ID: 32521977
    [No Abstract]   [Full Text] [Related]  

  • 12. Combined Transfer Learning and Test-Time Augmentation Improves Convolutional Neural Network-Based Semantic Segmentation of Prostate Cancer from Multi-Parametric MR Images.
    Hoar D; Lee PQ; Guida A; Patterson S; Bowen CV; Merrimen J; Wang C; Rendon R; Beyea SD; Clarke SE
    Comput Methods Programs Biomed; 2021 Oct; 210():106375. PubMed ID: 34500139
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A deep learning framework for automatic detection of arbitrarily shaped fiducial markers in intrafraction fluoroscopic images.
    Mylonas A; Keall PJ; Booth JT; Shieh CC; Eade T; Poulsen PR; Nguyen DT
    Med Phys; 2019 May; 46(5):2286-2297. PubMed ID: 30929254
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Hybrid Approach Based on Deep CNN and Machine Learning Classifiers for the Tumor Segmentation and Classification in Brain MRI.
    Haq EU; Jianjun H; Huarong X; Li K; Weng L
    Comput Math Methods Med; 2022; 2022():6446680. PubMed ID: 36035291
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep Feature Transfer Learning in Combination with Traditional Features Predicts Survival Among Patients with Lung Adenocarcinoma.
    Paul R; Hawkins SH; Balagurunathan Y; Schabath MB; Gillies RJ; Hall LO; Goldgof DB
    Tomography; 2016 Dec; 2(4):388-395. PubMed ID: 28066809
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Convolutional neural network for resolution enhancement and noise reduction in acoustic resolution photoacoustic microscopy.
    Sharma A; Pramanik M
    Biomed Opt Express; 2020 Dec; 11(12):6826-6839. PubMed ID: 33408964
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Liver disease classification from ultrasound using multi-scale CNN.
    Che H; Brown LG; Foran DJ; Nosher JL; Hacihaliloglu I
    Int J Comput Assist Radiol Surg; 2021 Sep; 16(9):1537-1548. PubMed ID: 34097226
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI.
    Zahoor MM; Qureshi SA; Bibi S; Khan SH; Khan A; Ghafoor U; Bhutta MR
    Sensors (Basel); 2022 Apr; 22(7):. PubMed ID: 35408340
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Development of deep neural network for individualized hepatobiliary toxicity prediction after liver SBRT.
    Ibragimov B; Toesca D; Chang D; Yuan Y; Koong A; Xing L
    Med Phys; 2018 Oct; 45(10):4763-4774. PubMed ID: 30098025
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals.
    Khademi Z; Ebrahimi F; Kordy HM
    Comput Biol Med; 2022 Apr; 143():105288. PubMed ID: 35168083
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.