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.
221 related articles for article (PubMed ID: 31841420)
1. 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]
2. 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]
3. Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis. Wang X; Chen H; Gan C; Lin H; Dou Q; Tsougenis E; Huang Q; Cai M; Heng PA IEEE Trans Cybern; 2020 Sep; 50(9):3950-3962. PubMed ID: 31484154 [TBL] [Abstract][Full Text] [Related]
5. [Automatic Segmentation of Digital Pathology Slides Based on Unsupervised Learning]. Qin HY; Deng Y; Zhou YY; Liu HH; Li L; Zhou QQ; Mei J; Bu H; Bao J Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Sep; 52(5):813-818. PubMed ID: 34622598 [TBL] [Abstract][Full Text] [Related]
6. Fast unsupervised nuclear segmentation and classification scheme for automatic allred cancer scoring in immunohistochemical breast tissue images. Mouelhi A; Rmili H; Ali JB; Sayadi M; Doghri R; Mrad K Comput Methods Programs Biomed; 2018 Oct; 165():37-51. PubMed ID: 30337080 [TBL] [Abstract][Full Text] [Related]
7. Metastasis detection from whole slide images using local features and random forests. Valkonen M; Kartasalo K; Liimatainen K; Nykter M; Latonen L; Ruusuvuori P Cytometry A; 2017 Jun; 91(6):555-565. PubMed ID: 28426134 [TBL] [Abstract][Full Text] [Related]
8. Head and Neck Cancer Detection in Digitized Whole-Slide Histology Using Convolutional Neural Networks. Halicek M; Shahedi M; Little JV; Chen AY; Myers LL; Sumer BD; Fei B Sci Rep; 2019 Oct; 9(1):14043. PubMed ID: 31575946 [TBL] [Abstract][Full Text] [Related]
10. Weakly supervised mitosis detection in breast histopathology images using concentric loss. Li C; Wang X; Liu W; Latecki LJ; Wang B; Huang J Med Image Anal; 2019 Apr; 53():165-178. PubMed ID: 30798116 [TBL] [Abstract][Full Text] [Related]
11. Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection. Lin H; Chen H; Graham S; Dou Q; Rajpoot N; Heng PA IEEE Trans Med Imaging; 2019 Aug; 38(8):1948-1958. PubMed ID: 30624213 [TBL] [Abstract][Full Text] [Related]
12. 1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset. Litjens G; Bandi P; Ehteshami Bejnordi B; Geessink O; Balkenhol M; Bult P; Halilovic A; Hermsen M; van de Loo R; Vogels R; Manson QF; Stathonikos N; Baidoshvili A; van Diest P; Wauters C; van Dijk M; van der Laak J Gigascience; 2018 Jun; 7(6):. PubMed ID: 29860392 [TBL] [Abstract][Full Text] [Related]
13. 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]
14. Multi-Instance Multi-Label Learning for Multi-Class Classification of Whole Slide Breast Histopathology Images. Mercan C; Aksoy S; Mercan E; Shapiro LG; Weaver DL; Elmore JG IEEE Trans Med Imaging; 2018 Jan; 37(1):316-325. PubMed ID: 28981408 [TBL] [Abstract][Full Text] [Related]
15. Multi-scale representation attention based deep multiple instance learning for gigapixel whole slide image analysis. Xiang H; Shen J; Yan Q; Xu M; Shi X; Zhu X Med Image Anal; 2023 Oct; 89():102890. PubMed ID: 37467642 [TBL] [Abstract][Full Text] [Related]
16. MaskMitosis: a deep learning framework for fully supervised, weakly supervised, and unsupervised mitosis detection in histopathology images. Sebai M; Wang X; Wang T Med Biol Eng Comput; 2020 Jul; 58(7):1603-1623. PubMed ID: 32445109 [TBL] [Abstract][Full Text] [Related]
17. Transformer-based unsupervised contrastive learning for histopathological image classification. Wang X; Yang S; Zhang J; Wang M; Zhang J; Yang W; Huang J; Han X Med Image Anal; 2022 Oct; 81():102559. PubMed ID: 35952419 [TBL] [Abstract][Full Text] [Related]
18. Automated quantitative analysis of Ki-67 staining and HE images recognition and registration based on whole tissue sections in breast carcinoma. Feng M; Deng Y; Yang L; Jing Q; Zhang Z; Xu L; Wei X; Zhou Y; Wu D; Xiang F; Wang Y; Bao J; Bu H Diagn Pathol; 2020 May; 15(1):65. PubMed ID: 32471471 [TBL] [Abstract][Full Text] [Related]
19. Local Interpretable Model-Agnostic Explanations for Classification of Lymph Node Metastases. Palatnik de Sousa I; Maria Bernardes Rebuzzi Vellasco M; Costa da Silva E Sensors (Basel); 2019 Jul; 19(13):. PubMed ID: 31284419 [TBL] [Abstract][Full Text] [Related]