BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

120 related articles for article (PubMed ID: 35135235)

  • 1. Multistage classification of oral histopathological images using improved residual network.
    Panigrahi S; Bhuyan R; Kumar K; Nayak J; Swarnkar T
    Math Biosci Eng; 2022 Jan; 19(2):1909-1925. PubMed ID: 35135235
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automated classification of cells into multiple classes in epithelial tissue of oral squamous cell carcinoma using transfer learning and convolutional neural network.
    Das N; Hussain E; Mahanta LB
    Neural Netw; 2020 Aug; 128():47-60. PubMed ID: 32416467
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Enhancing oral squamous cell carcinoma detection: a novel approach using improved EfficientNet architecture.
    Soni A; Sethy PK; Dewangan AK; Nanthaamornphong A; Behera SK; Devi B
    BMC Oral Health; 2024 May; 24(1):601. PubMed ID: 38783295
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Histopathology-Based Diagnosis of Oral Squamous Cell Carcinoma Using Deep Learning.
    Yang SY; Li SH; Liu JL; Sun XQ; Cen YY; Ren RY; Ying SC; Chen Y; Zhao ZH; Liao W
    J Dent Res; 2022 Oct; 101(11):1321-1327. PubMed ID: 35446176
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automatic Detection of Oral Squamous Cell Carcinoma from Histopathological Images of Oral Mucosa Using Deep Convolutional Neural Network.
    Das M; Dash R; Mishra SK
    Int J Environ Res Public Health; 2023 Jan; 20(3):. PubMed ID: 36767498
    [TBL] [Abstract][Full Text] [Related]  

  • 6. AI-based analysis of oral lesions using novel deep convolutional neural networks for early detection of oral cancer.
    Warin K; Limprasert W; Suebnukarn S; Jinaporntham S; Jantana P; Vicharueang S
    PLoS One; 2022; 17(8):e0273508. PubMed ID: 36001628
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated detection of premalignant oral lesions on whole slide images using convolutional neural networks.
    Liu Y; Bilodeau E; Pollack B; Batmanghelich K
    Oral Oncol; 2022 Nov; 134():106109. PubMed ID: 36126604
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Classifying histopathological images of oral squamous cell carcinoma using deep transfer learning.
    Panigrahi S; Nanda BS; Bhuyan R; Kumar K; Ghosh S; Swarnkar T
    Heliyon; 2023 Mar; 9(3):e13444. PubMed ID: 37101475
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Diagnosis of Oral Squamous Cell Carcinoma Using Deep Neural Networks and Binary Particle Swarm Optimization on Histopathological Images: An AIoMT Approach.
    Deif MA; Attar H; Amer A; Elhaty IA; Khosravi MR; Solyman AAA
    Comput Intell Neurosci; 2022; 2022():6364102. PubMed ID: 36210968
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Dilated and soft attention-guided convolutional neural network for breast cancer histology images classification.
    Zhong Y; Piao Y; Zhang G
    Microsc Res Tech; 2022 Apr; 85(4):1248-1257. PubMed ID: 34859543
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automated classification of histopathology images using transfer learning.
    Talo M
    Artif Intell Med; 2019 Nov; 101():101743. PubMed ID: 31813483
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. An Image Recognition Framework for Oral Cancer Cells.
    Zhang H; Li W; Zhang H
    J Healthc Eng; 2021; 2021():2449128. PubMed ID: 34691374
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Research on the classification of lymphoma pathological images based on deep residual neural network.
    Zhang X; Zhang K; Jiang M; Yang L
    Technol Health Care; 2021; 29(S1):335-344. PubMed ID: 33682770
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Noninvasive oral cancer screening based on local residual adaptation network using optical coherence tomography.
    Yuan W; Cheng L; Yang J; Yin B; Fan X; Yang J; Li S; Zhong J; Huang X
    Med Biol Eng Comput; 2022 May; 60(5):1363-1375. PubMed ID: 35359200
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Intelligent Deep Learning Enabled Oral Squamous Cell Carcinoma Detection and Classification Using Biomedical Images.
    Alanazi AA; Khayyat MM; Khayyat MM; Elamin Elnaim BM; Abdel-Khalek S
    Comput Intell Neurosci; 2022; 2022():7643967. PubMed ID: 35814555
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Assessment of deep learning algorithms to predict histopathological diagnosis of breast cancer: first Moroccan prospective study on a private dataset.
    El Agouri H; Azizi M; El Attar H; El Khannoussi M; Ibrahimi A; Kabbaj R; Kadiri H; BekarSabein S; EchCharif S; Mounjid C; El Khannoussi B
    BMC Res Notes; 2022 Feb; 15(1):66. PubMed ID: 35183227
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Effectiveness of deep learning classifiers in histopathological diagnosis of oral squamous cell carcinoma by pathologists.
    Sukegawa S; Ono S; Tanaka F; Inoue Y; Hara T; Yoshii K; Nakano K; Takabatake K; Kawai H; Katsumitsu S; Nakai F; Nakai Y; Miyazaki R; Murakami S; Nagatsuka H; Miyake M
    Sci Rep; 2023 Jul; 13(1):11676. PubMed ID: 37468501
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Histopathologic Oral Cancer Prediction Using Oral Squamous Cell Carcinoma Biopsy Empowered with Transfer Learning.
    Rahman AU; Alqahtani A; Aldhafferi N; Nasir MU; Khan MF; Khan MA; Mosavi A
    Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632242
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep convolutional neural networks for classifying head and neck cancer using hyperspectral imaging.
    Halicek M; Lu G; Little JV; Wang X; Patel M; Griffith CC; El-Deiry MW; Chen AY; Fei B
    J Biomed Opt; 2017 Jun; 22(6):60503. PubMed ID: 28655055
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.