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.
257 related articles for article (PubMed ID: 34561435)
1. Robust whole slide image analysis for cervical cancer screening using deep learning. Cheng S; Liu S; Yu J; Rao G; Xiao Y; Han W; Zhu W; Lv X; Li N; Cai J; Wang Z; Feng X; Yang F; Geng X; Ma J; Li X; Wei Z; Zhang X; Quan T; Zeng S; Chen L; Hu J; Liu X Nat Commun; 2021 Sep; 12(1):5639. PubMed ID: 34561435 [TBL] [Abstract][Full Text] [Related]
2. CervixFormer: A Multi-scale swin transformer-Based cervical pap-Smear WSI classification framework. Khan A; Han S; Ilyas N; Lee YM; Lee B Comput Methods Programs Biomed; 2023 Oct; 240():107718. PubMed ID: 37451230 [TBL] [Abstract][Full Text] [Related]
3. Masked hypergraph learning for weakly supervised histopathology whole slide image classification. Shi J; Shu T; Wu K; Jiang Z; Zheng L; Wang W; Wu H; Zheng Y Comput Methods Programs Biomed; 2024 Aug; 253():108237. PubMed ID: 38820715 [TBL] [Abstract][Full Text] [Related]
4. 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]
5. MSGM: An Advanced Deep Multi-Size Guiding Matching Network for Whole Slide Histopathology Images Addressing Staining Variation and Low Visibility Challenges. Li X; Li Z; Hu T; Long M; Ma X; Huang J; Liu Y; Yalikun Y; Liu S; Wang D; Wu J; Mei L; Lei C IEEE J Biomed Health Inform; 2024 Oct; 28(10):6019-6030. PubMed ID: 38913517 [TBL] [Abstract][Full Text] [Related]
6. An annotation-free whole-slide training approach to pathological classification of lung cancer types using deep learning. Chen CL; Chen CC; Yu WH; Chen SH; Chang YC; Hsu TI; Hsiao M; Yeh CY; Chen CY Nat Commun; 2021 Feb; 12(1):1193. PubMed ID: 33608558 [TBL] [Abstract][Full Text] [Related]
7. Deep learning shows the capability of high-level computer-aided diagnosis in malignant lymphoma. Miyoshi H; Sato K; Kabeya Y; Yonezawa S; Nakano H; Takeuchi Y; Ozawa I; Higo S; Yanagida E; Yamada K; Kohno K; Furuta T; Muta H; Takeuchi M; Sasaki Y; Yoshimura T; Matsuda K; Muto R; Moritsubo M; Inoue K; Suzuki T; Sekinaga H; Ohshima K Lab Invest; 2020 Oct; 100(10):1300-1310. PubMed ID: 32472096 [TBL] [Abstract][Full Text] [Related]
8. Cell comparative learning: A cervical cytopathology whole slide image classification method using normal and abnormal cells. Qin J; He Y; Liang Y; Kang L; Zhao J; Ding B Comput Med Imaging Graph; 2024 Oct; 117():102427. PubMed ID: 39216344 [TBL] [Abstract][Full Text] [Related]
9. Recognizing basal cell carcinoma on smartphone-captured digital histopathology images with a deep neural network. Jiang YQ; Xiong JH; Li HY; Yang XH; Yu WT; Gao M; Zhao X; Ma YP; Zhang W; Guan YF; Gu H; Sun JF Br J Dermatol; 2020 Mar; 182(3):754-762. PubMed ID: 31017653 [TBL] [Abstract][Full Text] [Related]
10. SliDL: A toolbox for processing whole-slide images in deep learning. Berman AG; Orchard WR; Gehrung M; Markowetz F PLoS One; 2023; 18(8):e0289499. PubMed ID: 37549131 [TBL] [Abstract][Full Text] [Related]
11. Recent developments in cervical cancer diagnosis using deep learning on whole slide images: An Overview of models, techniques, challenges and future directions. Sambyal D; Sarwar A Micron; 2023 Oct; 173():103520. PubMed ID: 37556898 [TBL] [Abstract][Full Text] [Related]
12. A Deep Learning Model for Cervical Cancer Screening on Liquid-Based Cytology Specimens in Whole Slide Images. Kanavati F; Hirose N; Ishii T; Fukuda A; Ichihara S; Tsuneki M Cancers (Basel); 2022 Feb; 14(5):. PubMed ID: 35267466 [TBL] [Abstract][Full Text] [Related]
13. Adaptive color deconvolution for histological WSI normalization. Zheng Y; Jiang Z; Zhang H; Xie F; Shi J; Xue C Comput Methods Programs Biomed; 2019 Mar; 170():107-120. PubMed ID: 30712599 [TBL] [Abstract][Full Text] [Related]
14. Whole Slide Image Multi-Classification of Cervical Epithelial Lesions Based on Unsupervised Pre-training. Zhao M; Ling M; Wang Z; Shi J; Kan H; An H; Han W; Bartlett J; Lu W Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():594-598. PubMed ID: 36086176 [TBL] [Abstract][Full Text] [Related]
15. Deep learning-based framework for slide-based histopathological image analysis. Kosaraju S; Park J; Lee H; Yang JW; Kang M Sci Rep; 2022 Nov; 12(1):19075. PubMed ID: 36351997 [TBL] [Abstract][Full Text] [Related]
16. 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]
17. Automated identification of malignancy in whole-slide pathological images: identification of eyelid malignant melanoma in gigapixel pathological slides using deep learning. Wang L; Ding L; Liu Z; Sun L; Chen L; Jia R; Dai X; Cao J; Ye J Br J Ophthalmol; 2020 Mar; 104(3):318-323. PubMed ID: 31302629 [TBL] [Abstract][Full Text] [Related]
18. LESS: Label-efficient multi-scale learning for cytological whole slide image screening. Zhao B; Deng W; Li ZHH; Zhou C; Gao Z; Wang G; Li X Med Image Anal; 2024 May; 94():103109. PubMed ID: 38387243 [TBL] [Abstract][Full Text] [Related]
19. Deep Convolution Neural Network for Malignancy Detection and Classification in Microscopic Uterine Cervix Cell Images. P B S; Faruqi F; K S H; Kudva R Asian Pac J Cancer Prev; 2019 Nov; 20(11):3447-3456. PubMed ID: 31759371 [TBL] [Abstract][Full Text] [Related]