BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

55 related articles for article (PubMed ID: 38512890)

  • 1. Automated Prediction of Malignant Melanoma using Two-Stage Convolutional Neural Network.
    Angeline J; Siva Kailash A; Karthikeyan J; Karthika R; Saravanan V
    Arch Dermatol Res; 2024 May; 316(6):275. PubMed ID: 38796546
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Skin Cancer Classification Using Deep Spiking Neural Network.
    Qasim Gilani S; Syed T; Umair M; Marques O
    J Digit Imaging; 2023 Jun; 36(3):1137-1147. PubMed ID: 36690775
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A novel deep learning framework for accurate melanoma diagnosis integrating imaging and genomic data for improved patient outcomes.
    Kiran A; Narayanasamy N; Ramesh JVN; Ahmad MW
    Skin Res Technol; 2024 Jun; 30(6):e13770. PubMed ID: 38881051
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Melanoma identification and classification model based on fine-tuned convolutional neural network.
    Almufareh MF; Tariq N; Humayun M; Khan FA
    Digit Health; 2024; 10():20552076241253757. PubMed ID: 38798885
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A novel approach for melanoma detection utilizing GAN synthesis and vision transformer.
    Wang R; Chen X; Wang X; Wang H; Qian C; Yao L; Zhang K
    Comput Biol Med; 2024 Jun; 176():108572. PubMed ID: 38749327
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multi-scale feature fusion and class weight loss for skin lesion classification.
    Hu Z; Mei W; Chen H; Hou W
    Comput Biol Med; 2024 Jun; 176():108594. PubMed ID: 38761501
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Artificial intelligence in the detection of skin cancer: State of the art.
    Strzelecki M; Kociołek M; Strąkowska M; Kozłowski M; Grzybowski A; Szczypiński PM
    Clin Dermatol; 2024; 42(3):280-295. PubMed ID: 38181888
    [TBL] [Abstract][Full Text] [Related]  

  • 8. BCN20000: Dermoscopic Lesions in the Wild.
    Hernández-Pérez C; Combalia M; Podlipnik S; Codella NCF; Rotemberg V; Halpern AC; Reiter O; Carrera C; Barreiro A; Helba B; Puig S; Vilaplana V; Malvehy J
    Sci Data; 2024 Jun; 11(1):641. PubMed ID: 38886204
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparison of Three Deep Learning Models in Accurate Classification of 770 Dermoscopy Skin Lesion Images.
    Adebiyi A; Rao P; Hirner J; Anokhin A; Smith EH; Simoes EJ; Becevic M
    AMIA Jt Summits Transl Sci Proc; 2024; 2024():46-53. PubMed ID: 38827104
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Two-step hierarchical binary classification of cancerous skin lesions using transfer learning and the random forest algorithm.
    Suleiman TA; Anyimadu DT; Permana AD; Ngim HAA; Scotto di Freca A
    Vis Comput Ind Biomed Art; 2024 Jun; 7(1):15. PubMed ID: 38884841
    [TBL] [Abstract][Full Text] [Related]  

  • 11. GP-CNN-DTEL: Global-Part CNN Model With Data-Transformed Ensemble Learning for Skin Lesion Classification.
    Tang P; Liang Q; Yan X; Xiang S; Zhang D
    IEEE J Biomed Health Inform; 2020 Oct; 24(10):2870-2882. PubMed ID: 32142460
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review.
    Höhn J; Hekler A; Krieghoff-Henning E; Kather JN; Utikal JS; Meier F; Gellrich FF; Hauschild A; French L; Schlager JG; Ghoreschi K; Wilhelm T; Kutzner H; Heppt M; Haferkamp S; Sondermann W; Schadendorf D; Schilling B; Maron RC; Schmitt M; Jutzi T; Fröhling S; Lipka DB; Brinker TJ
    J Med Internet Res; 2021 Jul; 23(7):e20708. PubMed ID: 34255646
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Role of In Vivo Reflectance Confocal Microscopy in the Analysis of Melanocytic Lesions.
    Serban ED; Farnetani F; Pellacani G; Constantin MM
    Acta Dermatovenerol Croat; 2018 Apr; 26(1):64-67. PubMed ID: 29782304
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Analysis of dermoscopy images of multi-class for early detection of skin lesions by hybrid systems based on integrating features of CNN models.
    Alshahrani M; Al-Jabbar M; Senan EM; Ahmed IA; Mohammed Saif JA
    PLoS One; 2024; 19(3):e0298305. PubMed ID: 38512890
    [TBL] [Abstract][Full Text] [Related]  

  • 15. AI Techniques of Dermoscopy Image Analysis for the Early Detection of Skin Lesions Based on Combined CNN Features.
    Olayah F; Senan EM; Ahmed IA; Awaji B
    Diagnostics (Basel); 2023 Apr; 13(7):. PubMed ID: 37046532
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Developing a Recognition System for Diagnosing Melanoma Skin Lesions Using Artificial Intelligence Algorithms.
    Alsaade FW; Aldhyani THH; Al-Adhaileh MH
    Comput Math Methods Med; 2021; 2021():9998379. PubMed ID: 34055044
    [TBL] [Abstract][Full Text] [Related]  

  • 17.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 18.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 19.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 3.