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 *

243 related articles for article (PubMed ID: 31900812)

  • 1. 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]  

  • 2. Convolution Neural Network for Breast Cancer Detection and Classification Using Deep Learning.
    Abunasser BS; Al-Hiealy MRJ; Zaqout IS; Abu-Naser SS
    Asian Pac J Cancer Prev; 2023 Feb; 24(2):531-544. PubMed ID: 36853302
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Classification of benign and malignant subtypes of breast cancer histopathology imaging using hybrid CNN-LSTM based transfer learning.
    Srikantamurthy MM; Rallabandi VPS; Dudekula DB; Natarajan S; Park J
    BMC Med Imaging; 2023 Jan; 23(1):19. PubMed ID: 36717788
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Breast cancer histopathological images classification based on deep semantic features and gray level co-occurrence matrix.
    Hao Y; Zhang L; Qiao S; Bai Y; Cheng R; Xue H; Hou Y; Zhang W; Zhang G
    PLoS One; 2022; 17(5):e0267955. PubMed ID: 35511877
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Attention-Based Deep Learning Approach for Breast Cancer Histopathological Image Multi-Classification.
    Aldakhil LA; Alhasson HF; Alharbi SS
    Diagnostics (Basel); 2024 Jul; 14(13):. PubMed ID: 39001292
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. Computer aid screening of COVID-19 using X-ray and CT scan images: An inner comparison.
    Sethy PK; Behera SK; Anitha K; Pandey C; Khan MR
    J Xray Sci Technol; 2021; 29(2):197-210. PubMed ID: 33492267
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Overcoming limitation of dissociation between MD and MI classifications of breast cancer histopathological images through a novel decomposed feature-based knowledge distillation method.
    Sepahvand M; Abdali-Mohammadi F
    Comput Biol Med; 2022 Jun; 145():105413. PubMed ID: 35325731
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Breast Cancer Histopathology Image Classification Using an Ensemble of Deep Learning Models.
    Hameed Z; Zahia S; Garcia-Zapirain B; Javier Aguirre J; MarĂ­a Vanegas A
    Sensors (Basel); 2020 Aug; 20(16):. PubMed ID: 32764398
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Sliding window based deep ensemble system for breast cancer classification.
    Alqudah A; Alqudah AM
    J Med Eng Technol; 2021 May; 45(4):313-323. PubMed ID: 33769183
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Automated Detection and Classification of Oral Squamous Cell Carcinoma Using Deep Neural Networks.
    Ananthakrishnan B; Shaik A; Kumar S; Narendran SO; Mattu K; Kavitha MS
    Diagnostics (Basel); 2023 Feb; 13(5):. PubMed ID: 36900062
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model.
    Han Z; Wei B; Zheng Y; Yin Y; Li K; Li S
    Sci Rep; 2017 Jun; 7(1):4172. PubMed ID: 28646155
    [TBL] [Abstract][Full Text] [Related]  

  • 17. MTRRE-Net: A deep learning model for detection of breast cancer from histopathological images.
    Chattopadhyay S; Dey A; Singh PK; Oliva D; Cuevas E; Sarkar R
    Comput Biol Med; 2022 Nov; 150():106155. PubMed ID: 36240595
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Enhancing breast cancer classification via histopathological image analysis: Leveraging self-supervised contrastive learning and transfer learning.
    Ashraf FB; Alam SMM; Sakib SM
    Heliyon; 2024 Jan; 10(2):e24094. PubMed ID: 38293493
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 13.