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 *

134 related articles for article (PubMed ID: 39276667)

  • 1. ViT-MAENB7: An innovative breast cancer diagnosis model from 3D mammograms using advanced segmentation and classification process.
    Umamaheswari T; Babu YMM
    Comput Methods Programs Biomed; 2024 Dec; 257():108373. PubMed ID: 39276667
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A New Breast Border Extraction and Contrast Enhancement Technique with Digital Mammogram Images for Improved Detection of Breast Cancer.
    Hazarika M; Mahanta LB
    Asian Pac J Cancer Prev; 2018 Aug; 19(8):2141-2148. PubMed ID: 30139217
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. ATMTN: a telemammography network architecture.
    Sheybani EO; Sankar R
    IEEE Trans Biomed Eng; 2002 Dec; 49(12):1438-43. PubMed ID: 12542239
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Applying dual models on optimized LSTM with U-net segmentation for breast cancer diagnosis using mammogram images.
    Sivamurugan J; Sureshkumar G
    Artif Intell Med; 2023 Sep; 143():102626. PubMed ID: 37673584
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Mutual information-based template matching scheme for detection of breast masses: from mammography to digital breast tomosynthesis.
    Mazurowski MA; Lo JY; Harrawood BP; Tourassi GD
    J Biomed Inform; 2011 Oct; 44(5):815-23. PubMed ID: 21554985
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Geometry-Based Pectoral Muscle Segmentation From MLO Mammogram Views.
    Taghanaki SA; Liu Y; Miles B; Hamarneh G
    IEEE Trans Biomed Eng; 2017 Nov; 64(11):2662-2671. PubMed ID: 28129144
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep Learning Computer-Aided Diagnosis for Breast Lesion in Digital Mammogram.
    Al-Antari MA; Al-Masni MA; Kim TS
    Adv Exp Med Biol; 2020; 1213():59-72. PubMed ID: 32030663
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A hierarchical pipeline for breast boundary segmentation and calcification detection in mammograms.
    Shi P; Zhong J; Rampun A; Wang H
    Comput Biol Med; 2018 May; 96():178-188. PubMed ID: 29597143
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep Learning Based Capsule Neural Network Model for Breast Cancer Diagnosis Using Mammogram Images.
    Kavitha T; Mathai PP; Karthikeyan C; Ashok M; Kohar R; Avanija J; Neelakandan S
    Interdiscip Sci; 2022 Mar; 14(1):113-129. PubMed ID: 34338956
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Estimation of breast percent density in raw and processed full field digital mammography images via adaptive fuzzy c-means clustering and support vector machine segmentation.
    Keller BM; Nathan DL; Wang Y; Zheng Y; Gee JC; Conant EF; Kontos D
    Med Phys; 2012 Aug; 39(8):4903-17. PubMed ID: 22894417
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Deep learning empowered breast cancer diagnosis: Advancements in detection and classification.
    Ahmad J; Akram S; Jaffar A; Ali Z; Bhatti SM; Ahmad A; Rehman SU
    PLoS One; 2024; 19(7):e0304757. PubMed ID: 38990817
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Aiding the Digital Mammogram for Detecting the Breast Cancer Using Shearlet Transform and Neural Network.
    P S; R T
    Asian Pac J Cancer Prev; 2018 Sep; 19(9):2665-2671. PubMed ID: 30256567
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Radiomics based detection and characterization of suspicious lesions on full field digital mammograms.
    Sapate SG; Mahajan A; Talbar SN; Sable N; Desai S; Thakur M
    Comput Methods Programs Biomed; 2018 Sep; 163():1-20. PubMed ID: 30119844
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Hybrid machine learning-based breast cancer segmentation framework using ultrasound images with optimal weighted features.
    Vijayan S; Panneerselvam R; Roshini TV
    Cell Biochem Funct; 2024 Jun; 42(4):e4054. PubMed ID: 38783623
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [Fully Automatic Glioma Segmentation Algorithm of Magnetic Resonance Imaging Based on 3D-UNet With More Global Contextual Feature Extraction: An Improvement on Insufficient Extraction of Global Features].
    Tian H; Wang Y; Ji Y; Rahman MM
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2024 Mar; 55(2):447-454. PubMed ID: 38645864
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 7.