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 *

140 related articles for article (PubMed ID: 35398621)

  • 1. A fuzzy distance-based ensemble of deep models for cervical cancer detection.
    Pramanik R; Biswas M; Sen S; Souza Júnior LA; Papa JP; Sarkar R
    Comput Methods Programs Biomed; 2022 Jun; 219():106776. PubMed ID: 35398621
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A fuzzy rank-based ensemble of CNN models for classification of cervical cytology.
    Manna A; Kundu R; Kaplun D; Sinitca A; Sarkar R
    Sci Rep; 2021 Jul; 11(1):14538. PubMed ID: 34267261
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images.
    William W; Ware A; Basaza-Ejiri AH; Obungoloch J
    Comput Methods Programs Biomed; 2018 Oct; 164():15-22. PubMed ID: 30195423
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Improving cervical cancer classification in PAP smear images with enhanced segmentation and deep progressive learning-based techniques.
    Mahajan P; Kaur P
    Diagn Cytopathol; 2024 Jun; 52(6):313-324. PubMed ID: 38516853
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A pap-smear analysis tool (PAT) for detection of cervical cancer from pap-smear images.
    William W; Ware A; Basaza-Ejiri AH; Obungoloch J
    Biomed Eng Online; 2019 Feb; 18(1):16. PubMed ID: 30755214
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Enhancing pap smear image classification: integrating transfer learning and attention mechanisms for improved detection of cervical abnormalities.
    Sood T; Khandnor P; Bhatia R
    Biomed Phys Eng Express; 2024 Sep; 10(6):. PubMed ID: 39377445
    [TBL] [Abstract][Full Text] [Related]  

  • 7. DeepCyto: a hybrid framework for cervical cancer classification by using deep feature fusion of cytology images.
    Shinde S; Kalbhor M; Wajire P
    Math Biosci Eng; 2022 Apr; 19(7):6415-6434. PubMed ID: 35730264
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep Convolution Neural Network for Malignancy Detection and Classification in Microscopic Uterine Cervix Cell Images.
    P B S; Faruqi F; K S H; Kudva R
    Asian Pac J Cancer Prev; 2019 Nov; 20(11):3447-3456. PubMed ID: 31759371
    [TBL] [Abstract][Full Text] [Related]  

  • 9. CervixFormer: A Multi-scale swin transformer-Based cervical pap-Smear WSI classification framework.
    Khan A; Han S; Ilyas N; Lee YM; Lee B
    Comput Methods Programs Biomed; 2023 Oct; 240():107718. PubMed ID: 37451230
    [TBL] [Abstract][Full Text] [Related]  

  • 10. COFE-Net: An ensemble strategy for Computer-Aided Detection for COVID-19.
    Banerjee A; Bhattacharya R; Bhateja V; Singh PK; Lay-Ekuakille A; Sarkar R
    Measurement (Lond); 2022 Jan; 187():110289. PubMed ID: 34663998
    [TBL] [Abstract][Full Text] [Related]  

  • 11. DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques.
    Rahaman MM; Li C; Yao Y; Kulwa F; Wu X; Li X; Wang Q
    Comput Biol Med; 2021 Sep; 136():104649. PubMed ID: 34332347
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 3cDe-Net: a cervical cancer cell detection network based on an improved backbone network and multiscale feature fusion.
    Wang W; Tian Y; Xu Y; Zhang XX; Li YS; Zhao SF; Bai YH
    BMC Med Imaging; 2022 Jul; 22(1):130. PubMed ID: 35870877
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Cervical cancer diagnosis based on modified uniform local ternary patterns and feed forward multilayer network optimized by genetic algorithm.
    Fekri-Ershad S; Ramakrishnan S
    Comput Biol Med; 2022 May; 144():105392. PubMed ID: 35299043
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A comprehensive study on the multi-class cervical cancer diagnostic prediction on pap smear images using a fusion-based decision from ensemble deep convolutional neural network.
    Hussain E; Mahanta LB; Das CR; Talukdar RK
    Tissue Cell; 2020 Aug; 65():101347. PubMed ID: 32746984
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Cervical Cancer Classification From Pap Smear Images Using Deep Convolutional Neural Network Models.
    Tan SL; Selvachandran G; Ding W; Paramesran R; Kotecha K
    Interdiscip Sci; 2024 Mar; 16(1):16-38. PubMed ID: 37962777
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Factors associated with the intention to undergo Pap smear testing in the rural areas of Indonesia: a health belief model.
    Sumarmi S; Hsu YY; Cheng YM; Lee SH
    Reprod Health; 2021 Jun; 18(1):138. PubMed ID: 34193195
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Deep Learning Ensemble Method to Assist Cytopathologists in Pap Test Image Classification.
    N Diniz D; T Rezende M; G C Bianchi A; M Carneiro C; J S Luz E; J P Moreira G; M Ushizima D; N S de Medeiros F; J F Souza M
    J Imaging; 2021 Jul; 7(7):. PubMed ID: 39080899
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A shape context fully convolutional neural network for segmentation and classification of cervical nuclei in Pap smear images.
    Hussain E; Mahanta LB; Das CR; Choudhury M; Chowdhury M
    Artif Intell Med; 2020 Jul; 107():101897. PubMed ID: 32828445
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Hybridization of Deep Learning Pre-Trained Models with Machine Learning Classifiers and Fuzzy Min-Max Neural Network for Cervical Cancer Diagnosis.
    Kalbhor M; Shinde S; Popescu DE; Hemanth DJ
    Diagnostics (Basel); 2023 Apr; 13(7):. PubMed ID: 37046581
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.