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 *

259 related articles for article (PubMed ID: 34860316)

  • 1. Breast histopathological image analysis using image processing techniques for diagnostic puposes: A methodological review.
    Rashmi R; Prasad K; Udupa CBK
    J Med Syst; 2021 Dec; 46(1):7. PubMed ID: 34860316
    [TBL] [Abstract][Full Text] [Related]  

  • 2. BCHisto-Net: Breast histopathological image classification by global and local feature aggregation.
    R R; Prasad K; Udupa CBK
    Artif Intell Med; 2021 Nov; 121():102191. PubMed ID: 34763806
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Computer-Aided Histopathological Image Analysis Techniques for Automated Nuclear Atypia Scoring of Breast Cancer: a Review.
    Das A; Nair MS; Peter SD
    J Digit Imaging; 2020 Oct; 33(5):1091-1121. PubMed ID: 31989390
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Reviewing Machine Learning and Image Processing Based Decision-Making Systems for Breast Cancer Imaging.
    Zerouaoui H; Idri A
    J Med Syst; 2021 Jan; 45(1):8. PubMed ID: 33404910
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks.
    Bandeira Diniz JO; Bandeira Diniz PH; Azevedo Valente TL; Corrêa Silva A; de Paiva AC; Gattass M
    Comput Methods Programs Biomed; 2018 Mar; 156():191-207. PubMed ID: 29428071
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Review on Computer Aided Breast Cancer Detection and Diagnosis using Machine Learning Methods on Mammogram Image.
    Kuttan GO; Elayidom MS
    Curr Med Imaging; 2023; 19(12):1361-1371. PubMed ID: 36788681
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep learning in mammography and breast histology, an overview and future trends.
    Hamidinekoo A; Denton E; Rampun A; Honnor K; Zwiggelaar R
    Med Image Anal; 2018 Jul; 47():45-67. PubMed ID: 29679847
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Location of mammograms ROI's and reduction of false-positive.
    Salazar-Licea LA; Pedraza-Ortega JC; Pastrana-Palma A; Aceves-Fernandez MA
    Comput Methods Programs Biomed; 2017 May; 143():97-111. PubMed ID: 28391823
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Breast cancer detection using deep learning: Datasets, methods, and challenges ahead.
    Din NMU; Dar RA; Rasool M; Assad A
    Comput Biol Med; 2022 Oct; 149():106073. PubMed ID: 36103745
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multi-channel Chan-Vese model for unsupervised segmentation of nuclei from breast histopathological images.
    Rashmi R; Prasad K; Udupa CBK
    Comput Biol Med; 2021 Sep; 136():104651. PubMed ID: 34333226
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automatic classification of tissue malignancy for breast carcinoma diagnosis.
    Fondón I; Sarmiento A; García AI; Silvestre M; Eloy C; Polónia A; Aguiar P
    Comput Biol Med; 2018 May; 96():41-51. PubMed ID: 29544146
    [TBL] [Abstract][Full Text] [Related]  

  • 12. New one-step model of breast tumor locating based on deep learning.
    Tao C; Chen K; Han L; Peng Y; Li C; Hua Z; Lin J
    J Xray Sci Technol; 2019; 27(5):839-856. PubMed ID: 31306148
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep Learning Approaches Towards Skin Lesion Segmentation and Classification from Dermoscopic Images - A Review.
    Baig R; Bibi M; Hamid A; Kausar S; Khalid S
    Curr Med Imaging; 2020; 16(5):513-533. PubMed ID: 32484086
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep Learning: a Promising Method for Histological Class Prediction of Breast Tumors in Mammography.
    Nica RE; Șerbănescu MS; Florescu LM; Camen GC; Streba CT; Gheonea IA
    J Digit Imaging; 2021 Oct; 34(5):1190-1198. PubMed ID: 34505960
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Thermal Imaging Techniques for Breast Screening - A Survey.
    S P
    Curr Med Imaging; 2020; 16(7):855-862. PubMed ID: 33059555
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Design of a Low-Cost Diffuse Optical Mammography System for Biomedical Image Processing in Breast Cancer Diagnosis.
    Rivera-Fernández JD; Roa-Tort K; Stolik S; Valor A; Fabila-Bustos DA; de la Rosa G; Hernández-Chávez M; de la Rosa-Vázquez JM
    Sensors (Basel); 2023 Apr; 23(9):. PubMed ID: 37177594
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Anniversary paper: History and status of CAD and quantitative image analysis: the role of Medical Physics and AAPM.
    Giger ML; Chan HP; Boone J
    Med Phys; 2008 Dec; 35(12):5799-820. PubMed ID: 19175137
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Role of image thermography in early breast cancer detection- Past, present and future.
    Singh D; Singh AK
    Comput Methods Programs Biomed; 2020 Jan; 183():105074. PubMed ID: 31525547
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An Efficient Segmentation and Classification System in Medical Images Using Intuitionist Possibilistic Fuzzy C-Mean Clustering and Fuzzy SVM Algorithm.
    Chowdhary CL; Mittal M; P K; Pattanaik PA; Marszalek Z
    Sensors (Basel); 2020 Jul; 20(14):. PubMed ID: 32668793
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Review of Computer-Aided Breast Cancer Diagnosis Using Sequential Mammograms.
    Loizidou K; Skouroumouni G; Nikolaou C; Pitris C
    Tomography; 2022 Dec; 8(6):2874-2892. PubMed ID: 36548533
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.