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 *

138 related articles for article (PubMed ID: 39001292)

  • 1. 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]  

  • 2. 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]  

  • 3. CBAM VGG16: An efficient driver distraction classification using CBAM embedded VGG16 architecture.
    Praharsha CH; Poulose A
    Comput Biol Med; 2024 Sep; 180():108945. PubMed ID: 39094328
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Enhancing accessibility for improved diagnosis with modified EfficientNetV2-S and cyclic learning rate strategy in women with disabilities and breast cancer.
    Al Moteri M; Mahesh TR; Thakur A; Vinoth Kumar V; Khan SB; Alojail M
    Front Med (Lausanne); 2024; 11():1373244. PubMed ID: 38515985
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Improved Breast Cancer Classification through Combining Transfer Learning and Attention Mechanism.
    Ashurov A; Chelloug SA; Tselykh A; Muthanna MSA; Muthanna A; Al-Gaashani MSAM
    Life (Basel); 2023 Sep; 13(9):. PubMed ID: 37763348
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. Multi-Classification of Breast Cancer Lesions in Histopathological Images Using DEEP_Pachi: Multiple Self-Attention Head.
    Ukwuoma CC; Hossain MA; Jackson JK; Nneji GU; Monday HN; Qin Z
    Diagnostics (Basel); 2022 May; 12(5):. PubMed ID: 35626307
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. MOB-CBAM: A dual-channel attention-based deep learning generalizable model for breast cancer molecular subtypes prediction using mammograms.
    Nissar I; Alam S; Masood S; Kashif M
    Comput Methods Programs Biomed; 2024 May; 248():108121. PubMed ID: 38531147
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Classification of plug seedling quality by improved convolutional neural network with an attention mechanism.
    Du X; Si L; Jin X; Li P; Yun Z; Gao K
    Front Plant Sci; 2022; 13():967706. PubMed ID: 35991389
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. 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]  

  • 18. Breast cancer pathological image classification based on deep learning.
    Hou Y
    J Xray Sci Technol; 2020; 28(4):727-738. PubMed ID: 32390646
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Improving Performance of Breast Lesion Classification Using a ResNet50 Model Optimized with a Novel Attention Mechanism.
    Islam W; Jones M; Faiz R; Sadeghipour N; Qiu Y; Zheng B
    Tomography; 2022 Sep; 8(5):2411-2425. PubMed ID: 36287799
    [TBL] [Abstract][Full Text] [Related]  

  • 20. LiverNet: efficient and robust deep learning model for automatic diagnosis of sub-types of liver hepatocellular carcinoma cancer from H&E stained liver histopathology images.
    Aatresh AA; Alabhya K; Lal S; Kini J; Saxena PUP
    Int J Comput Assist Radiol Surg; 2021 Sep; 16(9):1549-1563. PubMed ID: 34053009
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.