281 related articles for article (PubMed ID: 30530374)
1. Label-Efficient Breast Cancer Histopathological Image Classification.
Qi Q; Li Y; Wang J; Zheng H; Huang Y; Ding X; Rohde GK
IEEE J Biomed Health Inform; 2019 Sep; 23(5):2108-2116. PubMed ID: 30530374
[TBL] [Abstract][Full Text] [Related]
2. Batch Mode Active Learning on the Riemannian Manifold for Automated Scoring of Nuclear Pleomorphism in Breast Cancer.
Das A; Nair MS; Peter DS
Artif Intell Med; 2020 Mar; 103():101805. PubMed ID: 32143801
[TBL] [Abstract][Full Text] [Related]
3. MuDeRN: Multi-category classification of breast histopathological image using deep residual networks.
Gandomkar Z; Brennan PC; Mello-Thoms C
Artif Intell Med; 2018 Jun; 88():14-24. PubMed ID: 29705552
[TBL] [Abstract][Full Text] [Related]
4. Patch-based system for Classification of Breast Histology images using deep learning.
Roy K; Banik D; Bhattacharjee D; Nasipuri M
Comput Med Imaging Graph; 2019 Jan; 71():90-103. PubMed ID: 30594745
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. DeepMitosis: Mitosis detection via deep detection, verification and segmentation networks.
Li C; Wang X; Liu W; Latecki LJ
Med Image Anal; 2018 Apr; 45():121-133. PubMed ID: 29455111
[TBL] [Abstract][Full Text] [Related]
7. Epithelium-Stroma Classification via Convolutional Neural Networks and Unsupervised Domain Adaptation in Histopathological Images.
Huang Y; Zheng H; Liu C; Ding X; Rohde GK
IEEE J Biomed Health Inform; 2017 Nov; 21(6):1625-1632. PubMed ID: 28410112
[TBL] [Abstract][Full Text] [Related]
8. Deep Manifold Preserving Autoencoder for Classifying Breast Cancer Histopathological Images.
Feng Y; Zhang L; Mo J
IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(1):91-101. PubMed ID: 30040652
[TBL] [Abstract][Full Text] [Related]
9. Deep Learning-Based Classification of Liver Cancer Histopathology Images Using Only Global Labels.
Sun C; Xu A; Liu D; Xiong Z; Zhao F; Ding W
IEEE J Biomed Health Inform; 2020 Jun; 24(6):1643-1651. PubMed ID: 31670686
[TBL] [Abstract][Full Text] [Related]
10. Generating region proposals for histopathological whole slide image retrieval.
Ma Y; Jiang Z; Zhang H; Xie F; Zheng Y; Shi H; Zhao Y; Shi J
Comput Methods Programs Biomed; 2018 Jun; 159():1-10. PubMed ID: 29650303
[TBL] [Abstract][Full Text] [Related]
11. Deep learning approaches for breast cancer detection in histopathology images: A review.
Priya C V L; V G B; B R V; Ramachandran S
Cancer Biomark; 2024; 40(1):1-25. PubMed ID: 38517775
[TBL] [Abstract][Full Text] [Related]
12. Reliable Label-Efficient Learning for Biomedical Image Recognition.
Gu Y; Shen M; Yang J; Yang GZ
IEEE Trans Biomed Eng; 2019 Sep; 66(9):2423-2432. PubMed ID: 30596566
[TBL] [Abstract][Full Text] [Related]
13. Research on breast cancer pathological image classification method based on wavelet transform and YOLOv8.
Yang Y; Wang J
J Xray Sci Technol; 2024; 32(3):677-687. PubMed ID: 38189740
[TBL] [Abstract][Full Text] [Related]
14. Automatic classification of tissue malignancy for breast carcinoma diagnosis.
Fondón I; Sarmiento A; García AI; Silvestre M; Eloy C; Polónia A; Aguiar P
Comput Biol Med; 2018 May; 96():41-51. PubMed ID: 29544146
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Few-Shot Breast Cancer Metastases Classification via Unsupervised Cell Ranking.
Chen J; Jiao J; He S; Han G; Qin J
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(5):1914-1923. PubMed ID: 31841420
[TBL] [Abstract][Full Text] [Related]
17. Histopathological Whole Slide Image Analysis Using Context-Based CBIR.
Zheng Y; Jiang Z; Zhang H; Xie F; Ma Y; Shi H; Zhao Y
IEEE Trans Med Imaging; 2018 Jul; 37(7):1641-1652. PubMed ID: 29969415
[TBL] [Abstract][Full Text] [Related]
18. RegWSI: Whole slide image registration using combined deep feature- and intensity-based methods: Winner of the ACROBAT 2023 challenge.
Wodzinski M; Marini N; Atzori M; Müller H
Comput Methods Programs Biomed; 2024 Jun; 250():108187. PubMed ID: 38657383
[TBL] [Abstract][Full Text] [Related]
19. Scalable histopathological image analysis via active learning.
Zhu Y; Zhang S; Liu W; Metaxas DN
Med Image Comput Comput Assist Interv; 2014; 17(Pt 3):369-76. PubMed ID: 25320821
[TBL] [Abstract][Full Text] [Related]
20. A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.
Al-Antari MA; Al-Masni MA; Choi MT; Han SM; Kim TS
Int J Med Inform; 2018 Sep; 117():44-54. PubMed ID: 30032964
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
