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 *

124 related articles for article (PubMed ID: 39362910)

  • 1. Diagnosing skin cancer using social spider optimization (SSO) and error correcting output codes (ECOC) with weighted hamming distance.
    Mahin J; Xu X; Li L; Zhang C
    Sci Rep; 2024 Oct; 14(1):22997. PubMed ID: 39362910
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging.
    Tang P; Liang Q; Yan X; Xiang S; Sun W; Zhang D; Coppola G
    Comput Methods Programs Biomed; 2019 Sep; 178():289-301. PubMed ID: 31416556
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Echoes of images: multi-loss network for image retrieval in vision transformers.
    Pundhir A; Sagar S; Singh P; Raman B
    Med Biol Eng Comput; 2024 Jul; 62(7):2037-2058. PubMed ID: 38436836
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Transformer guided self-adaptive network for multi-scale skin lesion image segmentation.
    Xin C; Liu Z; Ma Y; Wang D; Zhang J; Li L; Zhou Q; Xu S; Zhang Y
    Comput Biol Med; 2024 Feb; 169():107846. PubMed ID: 38184865
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Skin cancer diagnosis (SCD) using Artificial Neural Network (ANN) and Improved Gray Wolf Optimization (IGWO).
    Lai W; Kuang M; Wang X; Ghafariasl P; Sabzalian MH; Lee S
    Sci Rep; 2023 Nov; 13(1):19377. PubMed ID: 37938553
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Digital hair segmentation using hybrid convolutional and recurrent neural networks architecture.
    Attia M; Hossny M; Zhou H; Nahavandi S; Asadi H; Yazdabadi A
    Comput Methods Programs Biomed; 2019 Aug; 177():17-30. PubMed ID: 31319945
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Skin lesion classification with ensembles of deep convolutional neural networks.
    Harangi B
    J Biomed Inform; 2018 Oct; 86():25-32. PubMed ID: 30103029
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automated Detection of Nonmelanoma Skin Cancer Based on Deep Convolutional Neural Network.
    Arif M; Philip FM; Ajesh F; Izdrui D; Craciun MD; Geman O
    J Healthc Eng; 2022; 2022():6952304. PubMed ID: 35186235
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images.
    Kaur R; GholamHosseini H; Sinha R; Lindén M
    BMC Med Imaging; 2022 May; 22(1):103. PubMed ID: 35644612
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Grid-Based Structural and Dimensional Skin Cancer Classification with Self-Featured Optimized Explainable Deep Convolutional Neural Networks.
    Behara K; Bhero E; Agee JT
    Int J Mol Sci; 2024 Jan; 25(3):. PubMed ID: 38338828
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A mathematical theory of shape and neuro-fuzzy methodology-based diagnostic analysis: a comparative study on early detection and treatment planning of brain cancer.
    Kar S; Majumder DD
    Int J Clin Oncol; 2017 Aug; 22(4):667-681. PubMed ID: 28321787
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Skin cancer diagnosis based on optimized convolutional neural network.
    Zhang N; Cai YX; Wang YY; Tian YT; Wang XL; Badami B
    Artif Intell Med; 2020 Jan; 102():101756. PubMed ID: 31980095
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Skin Cancer Diagnosis Based on Neutrosophic Features with a Deep Neural Network.
    Singh SK; Abolghasemi V; Anisi MH
    Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36016022
    [TBL] [Abstract][Full Text] [Related]  

  • 16. InSiNet: a deep convolutional approach to skin cancer detection and segmentation.
    Reis HC; Turk V; Khoshelham K; Kaya S
    Med Biol Eng Comput; 2022 Mar; 60(3):643-662. PubMed ID: 35028864
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Speech emotion analysis using convolutional neural network (CNN) and gamma classifier-based error correcting output codes (ECOC).
    Zhao Y; Shu X
    Sci Rep; 2023 Nov; 13(1):20398. PubMed ID: 37989782
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Optimizing time prediction and error classification in early melanoma detection using a hybrid RCNN-LSTM model.
    Arjun KP; Kumar KS; Dhanaraj RK; Ravi V; Kumar TG
    Microsc Res Tech; 2024 Aug; 87(8):1789-1809. PubMed ID: 38515433
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Region Extraction and Classification of Skin Cancer: A Heterogeneous framework of Deep CNN Features Fusion and Reduction.
    Saba T; Khan MA; Rehman A; Marie-Sainte SL
    J Med Syst; 2019 Jul; 43(9):289. PubMed ID: 31327058
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A novel approach toward skin cancer classification through fused deep features and neutrosophic environment.
    Abdelhafeez A; Mohamed HK; Maher A; Khalil NA
    Front Public Health; 2023; 11():1123581. PubMed ID: 37139387
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.