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 *

162 related articles for article (PubMed ID: 35140807)

  • 21. Past and present of computer-assisted dermoscopic diagnosis: performance of a conventional image analyser versus a convolutional neural network in a prospective data set of 1,981 skin lesions.
    Sies K; Winkler JK; Fink C; Bardehle F; Toberer F; Buhl T; Enk A; Blum A; Rosenberger A; Haenssle HA
    Eur J Cancer; 2020 Aug; 135():39-46. PubMed ID: 32534243
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Evaluation of transfer ensemble learning-based convolutional neural network models for the identification of chronic gingivitis from oral photographs.
    Li W; Guo E; Zhao H; Li Y; Miao L; Liu C; Sun W
    BMC Oral Health; 2024 Jul; 24(1):814. PubMed ID: 39020332
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Computer-aided diagnosis with a convolutional neural network algorithm for automated detection of urinary tract stones on plain X-ray.
    Kobayashi M; Ishioka J; Matsuoka Y; Fukuda Y; Kohno Y; Kawano K; Morimoto S; Muta R; Fujiwara M; Kawamura N; Okuno T; Yoshida S; Yokoyama M; Suda R; Saiki R; Suzuki K; Kumazawa I; Fujii Y
    BMC Urol; 2021 Aug; 21(1):102. PubMed ID: 34353306
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT.
    Lee JH; Ha EJ; Kim JH
    Eur Radiol; 2019 Oct; 29(10):5452-5457. PubMed ID: 30877461
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Weakly-supervised learning for lung carcinoma classification using deep learning.
    Kanavati F; Toyokawa G; Momosaki S; Rambeau M; Kozuma Y; Shoji F; Yamazaki K; Takeo S; Iizuka O; Tsuneki M
    Sci Rep; 2020 Jun; 10(1):9297. PubMed ID: 32518413
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Computer-aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks.
    Moon WK; Lee YW; Ke HH; Lee SH; Huang CS; Chang RF
    Comput Methods Programs Biomed; 2020 Jul; 190():105361. PubMed ID: 32007839
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Prediction of pulp exposure risk of carious pulpitis based on deep learning.
    Wang L; Wu F; Xiao M; Chen YX; Wu L
    Hua Xi Kou Qiang Yi Xue Za Zhi; 2023 Apr; 41(2):218-224. PubMed ID: 37056189
    [TBL] [Abstract][Full Text] [Related]  

  • 28. [Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients].
    Tang CQ; Li JQ; Xu DY; Liu XB; Hou WJ; Lyu KY; Xiao SC; Xia ZF
    Zhonghua Shao Shang Za Zhi; 2018 Jun; 34(6):343-348. PubMed ID: 29961290
    [No Abstract]   [Full Text] [Related]  

  • 29. Computer-aided diagnosis of congenital abnormalities of the kidney and urinary tract in children based on ultrasound imaging data by integrating texture image features and deep transfer learning image features.
    Zheng Q; Furth SL; Tasian GE; Fan Y
    J Pediatr Urol; 2019 Feb; 15(1):75.e1-75.e7. PubMed ID: 30473474
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features.
    Wang CJ; Hamm CA; Savic LJ; Ferrante M; Schobert I; Schlachter T; Lin M; Weinreb JC; Duncan JS; Chapiro J; Letzen B
    Eur Radiol; 2019 Jul; 29(7):3348-3357. PubMed ID: 31093705
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training.
    Lee JH; Ha EJ; Kim D; Jung YJ; Heo S; Jang YH; An SH; Lee K
    Eur Radiol; 2020 Jun; 30(6):3066-3072. PubMed ID: 32065285
    [TBL] [Abstract][Full Text] [Related]  

  • 32. White blood cells detection and classification based on regional convolutional neural networks.
    Kutlu H; Avci E; Özyurt F
    Med Hypotheses; 2020 Feb; 135():109472. PubMed ID: 31760248
    [TBL] [Abstract][Full Text] [Related]  

  • 33. CT Image Feature under Intelligent Algorithm in the Evaluation of Continuous Blood Purification in the Treatment and Nursing of Pulmonary Infection-Caused Severe Sepsis.
    Liu L; Liu Y; Xing A; Chen S; Gu M
    Comput Math Methods Med; 2021; 2021():2281327. PubMed ID: 34876921
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Comparison among Four Deep Learning Image Classification Algorithms in AI-based Diatom Test.
    Zhu YZ; Zhang J; Cheng Q; Yu HX; Deng KF; Zhang JH; Qin ZQ; Zhao J; Sun JH; Huang P
    Fa Yi Xue Za Zhi; 2022 Feb; 38(1):31-39. PubMed ID: 35725701
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Weakly-supervised deep learning for ultrasound diagnosis of breast cancer.
    Kim J; Kim HJ; Kim C; Lee JH; Kim KW; Park YM; Kim HW; Ki SY; Kim YM; Kim WH
    Sci Rep; 2021 Dec; 11(1):24382. PubMed ID: 34934144
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network.
    Han SS; Park GH; Lim W; Kim MS; Na JI; Park I; Chang SE
    PLoS One; 2018; 13(1):e0191493. PubMed ID: 29352285
    [TBL] [Abstract][Full Text] [Related]  

  • 37. AF-SENet: Classification of Cancer in Cervical Tissue Pathological Images Based on Fusing Deep Convolution Features.
    Huang P; Tan X; Chen C; Lv X; Li Y
    Sensors (Basel); 2020 Dec; 21(1):. PubMed ID: 33375508
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Skeletal bone age prediction based on a deep residual network with spatial transformer.
    Han Y; Wang G
    Comput Methods Programs Biomed; 2020 Dec; 197():105754. PubMed ID: 32957059
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Computer-Aided Pathologic Diagnosis of Nasopharyngeal Carcinoma Based on Deep Learning.
    Diao S; Hou J; Yu H; Zhao X; Sun Y; Lambo RL; Xie Y; Liu L; Qin W; Luo W
    Am J Pathol; 2020 Aug; 190(8):1691-1700. PubMed ID: 32360568
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Deep Learning-Based Segmentation and Quantification in Experimental Kidney Histopathology.
    Bouteldja N; Klinkhammer BM; Bülow RD; Droste P; Otten SW; Freifrau von Stillfried S; Moellmann J; Sheehan SM; Korstanje R; Menzel S; Bankhead P; Mietsch M; Drummer C; Lehrke M; Kramann R; Floege J; Boor P; Merhof D
    J Am Soc Nephrol; 2021 Jan; 32(1):52-68. PubMed ID: 33154175
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.