BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

142 related articles for article (PubMed ID: 32850373)

  • 1. Establishment and Applicability of a Diagnostic System for Advanced Gastric Cancer T Staging Based on a Faster Region-Based Convolutional Neural Network.
    Zheng L; Zhang X; Hu J; Gao Y; Zhang X; Zhang M; Li S; Zhou X; Niu T; Lu Y; Wang D
    Front Oncol; 2020; 10():1238. PubMed ID: 32850373
    [No Abstract]   [Full Text] [Related]  

  • 2. [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]  

  • 3. Detection and diagnosis of colitis on computed tomography using deep convolutional neural networks.
    Liu J; Wang D; Lu L; Wei Z; Kim L; Turkbey EB; Sahiner B; Petrick NA; Summers RM
    Med Phys; 2017 Sep; 44(9):4630-4642. PubMed ID: 28594460
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Establishment and clinical application value of an automatic diagnosis platform for rectal cancer T-staging based on a deep neural network.
    Wu QY; Liu SL; Sun P; Li Y; Liu GW; Liu SS; Hu JL; Niu TY; Lu Y
    Chin Med J (Engl); 2021 Feb; 134(7):821-828. PubMed ID: 33797468
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Establishment and application of an artificial intelligence diagnosis system for pancreatic cancer with a faster region-based convolutional neural network.
    Liu SL; Li S; Guo YT; Zhou YP; Zhang ZD; Li S; Lu Y
    Chin Med J (Engl); 2019 Dec; 132(23):2795-2803. PubMed ID: 31856050
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Establishment and test results of an artificial intelligence burn depth recognition model based on convolutional neural network].
    He ZY; Wang Y; Zhang PH; Zuo K; Liang PF; Zeng JZ; Zhou ST; Guo L; Huang MT; Cui X
    Zhonghua Shao Shang Za Zhi; 2020 Nov; 36(11):1070-1074. PubMed ID: 33238691
    [No Abstract]   [Full Text] [Related]  

  • 7. Use of artificial intelligence for detection of gastric lesions by magnetically controlled capsule endoscopy.
    Xia J; Xia T; Pan J; Gao F; Wang S; Qian YY; Wang H; Zhao J; Jiang X; Zou WB; Wang YC; Zhou W; Li ZS; Liao Z
    Gastrointest Endosc; 2021 Jan; 93(1):133-139.e4. PubMed ID: 32470426
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Establishment and clinical testing of pancreatic cancer Faster R-CNN AI system based on fast regional convolutional neural network].
    Yang SJ; Lu Y; Zheng XF; Zhang YJ; Xin FJ; Sun P; Li Y; Liu SS; Li S; Guo YT; Liu SL
    Zhonghua Wai Ke Za Zhi; 2020 Jul; 58(7):520-524. PubMed ID: 32610422
    [No Abstract]   [Full Text] [Related]  

  • 9. Medical image recognition and segmentation of pathological slices of gastric cancer based on Deeplab v3+ neural network.
    Wang J; Liu X
    Comput Methods Programs Biomed; 2021 Aug; 207():106210. PubMed ID: 34130088
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Development of a deep learning model for early gastric cancer diagnosis using preoperative computed tomography images.
    Gao Z; Yu Z; Zhang X; Chen C; Pan Z; Chen X; Lin W; Chen J; Zhuge Q; Shen X
    Front Oncol; 2023; 13():1265366. PubMed ID: 37869090
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Computer-aided detection of mass in digital breast tomosynthesis using a faster region-based convolutional neural network.
    Fan M; Li Y; Zheng S; Peng W; Tang W; Li L
    Methods; 2019 Aug; 166():103-111. PubMed ID: 30771490
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Mass Detection and Segmentation in Digital Breast Tomosynthesis Using 3D-Mask Region-Based Convolutional Neural Network: A Comparative Analysis.
    Fan M; Zheng H; Zheng S; You C; Gu Y; Gao X; Peng W; Li L
    Front Mol Biosci; 2020; 7():599333. PubMed ID: 33263004
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation of deep learning methods for early gastric cancer detection using gastroscopic images.
    Su X; Liu Q; Gao X; Ma L
    Technol Health Care; 2023; 31(S1):313-322. PubMed ID: 37066932
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Esophageal cancer detection based on classification of gastrointestinal CT images using improved Faster RCNN.
    Chen KB; Xuan Y; Lin AJ; Guo SH
    Comput Methods Programs Biomed; 2021 Aug; 207():106172. PubMed ID: 34049268
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automated classification of gastric neoplasms in endoscopic images using a convolutional neural network.
    Cho BJ; Bang CS; Park SW; Yang YJ; Seo SI; Lim H; Shin WG; Hong JT; Yoo YT; Hong SH; Choi JH; Lee JJ; Baik GH
    Endoscopy; 2019 Dec; 51(12):1121-1129. PubMed ID: 31443108
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Establishment and Clinical Application of an Artificial Intelligence Diagnostic Platform for Identifying Rectal Cancer Tumor Budding.
    Liu S; Zhang Y; Ju Y; Li Y; Kang X; Yang X; Niu T; Xing X; Lu Y
    Front Oncol; 2021; 11():626626. PubMed ID: 33763362
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Computer-aided diagnosis of prostate cancer using a deep convolutional neural network from multiparametric MRI.
    Song Y; Zhang YD; Yan X; Liu H; Zhou M; Hu B; Yang G
    J Magn Reson Imaging; 2018 Dec; 48(6):1570-1577. PubMed ID: 29659067
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Diagnosis of primary clear cell carcinoma of the liver based on Faster region-based convolutional neural network.
    Liu B; Li J; Yang X; Chen F; Zhang Y; Li H
    Chin Med J (Engl); 2023 Nov; 136(22):2706-2711. PubMed ID: 37882066
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images.
    Hirasawa T; Aoyama K; Tanimoto T; Ishihara S; Shichijo S; Ozawa T; Ohnishi T; Fujishiro M; Matsuo K; Fujisaki J; Tada T
    Gastric Cancer; 2018 Jul; 21(4):653-660. PubMed ID: 29335825
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Melanoma lesion detection and segmentation using deep region based convolutional neural network and fuzzy C-means clustering.
    Nida N; Irtaza A; Javed A; Yousaf MH; Mahmood MT
    Int J Med Inform; 2019 Apr; 124():37-48. PubMed ID: 30784425
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.