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 *

151 related articles for article (PubMed ID: 36011151)

  • 1. Rapid Polyp Classification in Colonoscopy Using Textural and Convolutional Features.
    Lo CM; Yeh YH; Tang JH; Chang CC; Yeh HJ
    Healthcare (Basel); 2022 Aug; 10(8):. PubMed ID: 36011151
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Rapid Assessment of Acute Ischemic Stroke by Computed Tomography Using Deep Convolutional Neural Networks.
    Lo CM; Hung PH; Lin DT
    J Digit Imaging; 2021 Jun; 34(3):637-646. PubMed ID: 33963421
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Improved Accuracy in Optical Diagnosis of Colorectal Polyps Using Convolutional Neural Networks with Visual Explanations.
    Jin EH; Lee D; Bae JH; Kang HY; Kwak MS; Seo JY; Yang JI; Yang SY; Lim SH; Yim JY; Lim JH; Chung GE; Chung SJ; Choi JM; Han YM; Kang SJ; Lee J; Chan Kim H; Kim JS
    Gastroenterology; 2020 Jun; 158(8):2169-2179.e8. PubMed ID: 32119927
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automatic Detection and Classification of Colorectal Polyps by Transferring Low-Level CNN Features From Nonmedical Domain.
    Zhang R; Zheng Y; Mak TW; Yu R; Wong SH; Lau JY; Poon CC
    IEEE J Biomed Health Inform; 2017 Jan; 21(1):41-47. PubMed ID: 28114040
    [TBL] [Abstract][Full Text] [Related]  

  • 5. New polyp image classification technique using transfer learning of network-in-network structure in endoscopic images.
    Kim YJ; Bae JP; Chung JW; Park DK; Kim KG; Kim YJ
    Sci Rep; 2021 Feb; 11(1):3605. PubMed ID: 33574394
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Computer-Aided Colon Polyp Detection on High Resolution Colonoscopy Using Transfer Learning Techniques.
    Tang CP; Chen KH; Lin TL
    Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450756
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated classification of polyps using deep learning architectures and few-shot learning.
    Krenzer A; Heil S; Fitting D; Matti S; Zoller WG; Hann A; Puppe F
    BMC Med Imaging; 2023 Apr; 23(1):59. PubMed ID: 37081495
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Colorectal Polyp Image Detection and Classification through Grayscale Images and Deep Learning.
    Hsu CM; Hsu CC; Hsu ZM; Shih FY; Chang ML; Chen TH
    Sensors (Basel); 2021 Sep; 21(18):. PubMed ID: 34577209
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparison of hand-craft feature based SVM and CNN based deep learning framework for automatic polyp classification.
    Younghak Shin ; Balasingham I
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():3277-3280. PubMed ID: 29060597
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy.
    Urban G; Tripathi P; Alkayali T; Mittal M; Jalali F; Karnes W; Baldi P
    Gastroenterology; 2018 Oct; 155(4):1069-1078.e8. PubMed ID: 29928897
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A comparative study on polyp classification using convolutional neural networks.
    Patel K; Li K; Tao K; Wang Q; Bansal A; Rastogi A; Wang G
    PLoS One; 2020; 15(7):e0236452. PubMed ID: 32730279
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Computer-Aided Diagnosis Based on Convolutional Neural Network System for Colorectal Polyp Classification: Preliminary Experience.
    Komeda Y; Handa H; Watanabe T; Nomura T; Kitahashi M; Sakurai T; Okamoto A; Minami T; Kono M; Arizumi T; Takenaka M; Hagiwara S; Matsui S; Nishida N; Kashida H; Kudo M
    Oncology; 2017; 93 Suppl 1():30-34. PubMed ID: 29258081
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Detection and Classification of Colorectal Polyp Using Deep Learning.
    Tanwar S; Vijayalakshmi S; Sabharwal M; Kaur M; AlZubi AA; Lee HN
    Biomed Res Int; 2022; 2022():2805607. PubMed ID: 35463989
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Weakly Supervised Polyp Segmentation in Colonoscopy Images Using Deep Neural Networks.
    Chen S; Urban G; Baldi P
    J Imaging; 2022 Apr; 8(5):. PubMed ID: 35621885
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparison of Fine-Tuned Deep Convolutional Neural Networks for the Automated Classification of Lung Cancer Cytology Images with Integration of Additional Classifiers.
    Tsukamoto T; Teramoto A; Yamada A; Kiriyama Y; Sakurai E; Michiba A; Imaizumi K; Fujita H
    Asian Pac J Cancer Prev; 2022 Apr; 23(4):1315-1324. PubMed ID: 35485691
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep Learning Based Analysis of Histopathological Images of Breast Cancer.
    Xie J; Liu R; Luttrell J; Zhang C
    Front Genet; 2019; 10():80. PubMed ID: 30838023
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An Ensemble-Based Deep Convolutional Neural Network for Computer-Aided Polyps Identification From Colonoscopy.
    Sharma P; Balabantaray BK; Bora K; Mallik S; Kasugai K; Zhao Z
    Front Genet; 2022; 13():844391. PubMed ID: 35559018
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Holographic Microwave Image Classification Using a Convolutional Neural Network.
    Wang L
    Micromachines (Basel); 2022 Nov; 13(12):. PubMed ID: 36557348
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification.
    Al-Masni MA; Kim DH; Kim TS
    Comput Methods Programs Biomed; 2020 Jul; 190():105351. PubMed ID: 32028084
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep learning in CT colonography: differentiating premalignant from benign colorectal polyps.
    Wesp P; Grosu S; Graser A; Maurus S; Schulz C; Knösel T; Fabritius MP; Schachtner B; Yeh BM; Cyran CC; Ricke J; Kazmierczak PM; Ingrisch M
    Eur Radiol; 2022 Jul; 32(7):4749-4759. PubMed ID: 35083528
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.