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 *

137 related articles for article (PubMed ID: 37174071)

  • 1. Persistent Homology-Based Machine Learning Method for Filtering and Classifying Mammographic Microcalcification Images in Early Cancer Detection.
    Malek AA; Alias MA; Razak FA; Noorani MSM; Mahmud R; Zulkepli NFS
    Cancers (Basel); 2023 May; 15(9):. PubMed ID: 37174071
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multiscale connected chain topological modelling for microcalcification classification.
    George M; Chen Z; Zwiggelaar R
    Comput Biol Med; 2019 Nov; 114():103422. PubMed ID: 31521895
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Topological modeling and classification of mammographic microcalcification clusters.
    Chen Z; Strange H; Oliver A; Denton ER; Boggis C; Zwiggelaar R
    IEEE Trans Biomed Eng; 2015 Apr; 62(4):1203-14. PubMed ID: 25546849
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Improved automated early detection of breast cancer based on high resolution 3D micro-CT microcalcification images.
    Brahimetaj R; Willekens I; Massart A; Forsyth R; Cornelis J; Mey J; Jansen B
    BMC Cancer; 2022 Feb; 22(1):162. PubMed ID: 35148703
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An Automatic Detection and Localization of Mammographic Microcalcifications ROI with Multi-Scale Features Using the Radiomics Analysis Approach.
    Mahmood T; Li J; Pei Y; Akhtar F; Imran A; Yaqub M
    Cancers (Basel); 2021 Nov; 13(23):. PubMed ID: 34885026
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A novel approach for detection and classification of mammographic microcalcifications using wavelet analysis and extreme learning machine.
    Malar E; Kandaswamy A; Chakravarthy D; Giri Dharan A
    Comput Biol Med; 2012 Sep; 42(9):898-905. PubMed ID: 22871899
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Breast cancer detection and classification in mammogram using a three-stage deep learning framework based on PAA algorithm.
    Jiang J; Peng J; Hu C; Jian W; Wang X; Liu W
    Artif Intell Med; 2022 Dec; 134():102419. PubMed ID: 36462904
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Computer Vision-Based Microcalcification Detection in Digital Mammograms Using Fully Connected Depthwise Separable Convolutional Neural Network.
    Rehman KU; Li J; Pei Y; Yasin A; Ali S; Mahmood T
    Sensors (Basel); 2021 Jul; 21(14):. PubMed ID: 34300597
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Classification of Microcalcification Clusters in Digital Mammograms Using a Stack Generalization Based Classifier.
    Alam N; R E Denton E; Zwiggelaar R
    J Imaging; 2019 Sep; 5(9):. PubMed ID: 34460670
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Segmentation for the enhancement of microcalcifications in digital mammograms.
    Milosevic M; Jankovic D; Peulic A
    Technol Health Care; 2014; 22(5):701-15. PubMed ID: 25059254
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Patchless Multi-Stage Transfer Learning for Improved Mammographic Breast Mass Classification.
    Ayana G; Park J; Choe SW
    Cancers (Basel); 2022 Mar; 14(5):. PubMed ID: 35267587
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Breast microcalcifications detection based on fusing features with DTCWT.
    Wang Z; Xin J; Zhang Q; Gao S; Ma C; Ren J; Zhang H; Qian W; Zhu W; Zhang X; Liu J
    J Xray Sci Technol; 2020; 28(2):197-218. PubMed ID: 31985483
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Hybrid Feature Mammogram Analysis: Detecting and Localizing Microcalcifications Combining Gabor, Prewitt, GLCM Features, and Top Hat Filtering Enhanced with CNN Architecture.
    Hernández-Vázquez MA; Hernández-Rodríguez YM; Cortes-Rojas FD; Bayareh-Mancilla R; Cigarroa-Mayorga OE
    Diagnostics (Basel); 2024 Aug; 14(15):. PubMed ID: 39125567
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Evaluating geodesic active contours in microcalcifications segmentation on mammograms.
    Duarte MA; Alvarenga AV; Azevedo CM; Calas MJ; Infantosi AF; Pereira WC
    Comput Methods Programs Biomed; 2015 Dec; 122(3):304-15. PubMed ID: 26363676
    [TBL] [Abstract][Full Text] [Related]  

  • 15. False Positive Reduction by an Annular Model as a Set of Few Features for Microcalcification Detection to Assist Early Diagnosis of Breast Cancer.
    Hernández-Capistrán J; Martínez-Carballido JF; Rosas-Romero R
    J Med Syst; 2018 Jun; 42(8):134. PubMed ID: 29915992
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Mammographic image denoising and enhancement using the Anscombe transformation, adaptive wiener filtering, and the modulation transfer function.
    Romualdo LC; Vieira MA; Schiabel H; Mascarenhas ND; Borges LR
    J Digit Imaging; 2013 Apr; 26(2):183-97. PubMed ID: 22806627
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An Effective Ensemble Machine Learning Approach to Classify Breast Cancer Based on Feature Selection and Lesion Segmentation Using Preprocessed Mammograms.
    Rafid AKMRH; Azam S; Montaha S; Karim A; Fahim KU; Hasan MZ
    Biology (Basel); 2022 Nov; 11(11):. PubMed ID: 36421368
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Novel Medical Image Enhancement Algorithm for Breast Cancer Detection on Mammography Images Using Machine Learning.
    Avcı H; Karakaya J
    Diagnostics (Basel); 2023 Jan; 13(3):. PubMed ID: 36766453
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Breast cancer classification based on convolutional neural network and image fusion approaches using ultrasound images.
    Alotaibi M; Aljouie A; Alluhaidan N; Qureshi W; Almatar H; Alduhayan R; Alsomaie B; Almazroa A
    Heliyon; 2023 Nov; 9(11):e22406. PubMed ID: 38074874
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Breast lesions classifications of mammographic images using a deep convolutional neural network-based approach.
    Mahmood T; Li J; Pei Y; Akhtar F; Rehman MU; Wasti SH
    PLoS One; 2022; 17(1):e0263126. PubMed ID: 35085352
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.