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 *

438 related articles for article (PubMed ID: 35482216)

  • 1. Feature Generalization for Breast Cancer Detection in Histopathological Images.
    Das R; Kaur K; Walia E
    Interdiscip Sci; 2022 Jun; 14(2):566-581. PubMed ID: 35482216
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Conventional Machine Learning versus Deep Learning for Magnification Dependent Histopathological Breast Cancer Image Classification: A Comparative Study with Visual Explanation.
    Boumaraf S; Liu X; Wan Y; Zheng Z; Ferkous C; Ma X; Li Z; Bardou D
    Diagnostics (Basel); 2021 Mar; 11(3):. PubMed ID: 33809611
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Conventional Machine Learning and Deep Learning Approach for Multi-Classification of Breast Cancer Histopathology Images-a Comparative Insight.
    Sharma S; Mehra R
    J Digit Imaging; 2020 Jun; 33(3):632-654. PubMed ID: 31900812
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Breast cancer detection from biopsy images using nucleus guided transfer learning and belief based fusion.
    George K; Faziludeen S; Sankaran P; Joseph K P
    Comput Biol Med; 2020 Sep; 124():103954. PubMed ID: 32777599
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Breast Tumor Classification in Ultrasound Images Using Combined Deep and Handcrafted Features.
    Daoud MI; Abdel-Rahman S; Bdair TM; Al-Najar MS; Al-Hawari FH; Alazrai R
    Sensors (Basel); 2020 Nov; 20(23):. PubMed ID: 33265900
    [TBL] [Abstract][Full Text] [Related]  

  • 7. MDFF-Net: A multi-dimensional feature fusion network for breast histopathology image classification.
    Xu C; Yi K; Jiang N; Li X; Zhong M; Zhang Y
    Comput Biol Med; 2023 Oct; 165():107385. PubMed ID: 37633086
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Computer assisted recognition of breast cancer in biopsy images via fusion of nucleus-guided deep convolutional features.
    George K; Sankaran P; K PJ
    Comput Methods Programs Biomed; 2020 Oct; 194():105531. PubMed ID: 32422473
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Deep Learning Method for Breast Cancer Classification in the Pathology Images.
    Liu M; Hu L; Tang Y; Wang C; He Y; Zeng C; Lin K; He Z; Huo W
    IEEE J Biomed Health Inform; 2022 Oct; 26(10):5025-5032. PubMed ID: 35776828
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Collaborative Transfer Network for Multi-Classification of Breast Cancer Histopathological Images.
    Liu L; Wang Y; Zhang P; Qiao H; Sun T; Zhang H; Xu X; Shang H
    IEEE J Biomed Health Inform; 2024 Jan; 28(1):110-121. PubMed ID: 37294651
    [TBL] [Abstract][Full Text] [Related]  

  • 11. BIRADS features-oriented semi-supervised deep learning for breast ultrasound computer-aided diagnosis.
    Zhang E; Seiler S; Chen M; Lu W; Gu X
    Phys Med Biol; 2020 Jun; 65(12):125005. PubMed ID: 32155605
    [TBL] [Abstract][Full Text] [Related]  

  • 12. VGGIN-Net: Deep Transfer Network for Imbalanced Breast Cancer Dataset.
    Saini M; Susan S
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):752-762. PubMed ID: 35349449
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Classification of Breast Cancer Histopathological Images Using DenseNet and Transfer Learning.
    Wakili MA; Shehu HA; Sharif MH; Sharif MHU; Umar A; Kusetogullari H; Ince IF; Uyaver S
    Comput Intell Neurosci; 2022; 2022():8904768. PubMed ID: 36262621
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Breast cancer diagnosis from contrast-enhanced mammography using multi-feature fusion neural network.
    Qian N; Jiang W; Guo Y; Zhu J; Qiu J; Yu H; Huang X
    Eur Radiol; 2024 Feb; 34(2):917-927. PubMed ID: 37610440
    [TBL] [Abstract][Full Text] [Related]  

  • 15. DRDA-Net: Dense residual dual-shuffle attention network for breast cancer classification using histopathological images.
    Chattopadhyay S; Dey A; Singh PK; Sarkar R
    Comput Biol Med; 2022 Jun; 145():105437. PubMed ID: 35339096
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Boosted Additive Angular Margin Loss for breast cancer diagnosis from histopathological images.
    Alirezazadeh P; Dornaika F
    Comput Biol Med; 2023 Nov; 166():107528. PubMed ID: 37774559
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Analyzing Histological Images Using Hybrid Techniques for Early Detection of Multi-Class Breast Cancer Based on Fusion Features of CNN and Handcrafted.
    Al-Jabbar M; Alshahrani M; Senan EM; Ahmed IA
    Diagnostics (Basel); 2023 May; 13(10):. PubMed ID: 37238243
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A framework for breast cancer classification using Multi-DCNNs.
    Ragab DA; Attallah O; Sharkas M; Ren J; Marshall S
    Comput Biol Med; 2021 Apr; 131():104245. PubMed ID: 33556893
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Detection of bladder cancer with feature fusion, transfer learning and CapsNets.
    Freitas NR; Vieira PM; Cordeiro A; Tinoco C; Morais N; Torres J; Anacleto S; Laguna MP; Lima E; Lima CS
    Artif Intell Med; 2022 Apr; 126():102275. PubMed ID: 35346444
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Histopathological image recognition of breast cancer based on three-channel reconstructed color slice feature fusion.
    Zhang C; Bai Y; Yang C; Cheng R; Tan X; Zhang W; Zhang G
    Biochem Biophys Res Commun; 2022 Sep; 619():159-165. PubMed ID: 35780518
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 22.