179 related articles for article (PubMed ID: 34710655)
1. Deep learning for bone marrow cell detection and classification on whole-slide images.
Wang CW; Huang SC; Lee YC; Shen YJ; Meng SI; Gaol JL
Med Image Anal; 2022 Jan; 75():102270. PubMed ID: 34710655
[TBL] [Abstract][Full Text] [Related]
2. CW-NET for multitype cell detection and classification in bone marrow examination and mitotic figure examination.
Wang CW; Huang SC; Khalil MA; Hong DZ; Meng SI; Lee YC
Bioinformatics; 2023 Jun; 39(6):. PubMed ID: 37252823
[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]
4. Fast cross-staining alignment of gigapixel whole slide images with application to prostate cancer and breast cancer analysis.
Wang CW; Lee YC; Khalil MA; Lin KY; Yu CP; Lien HC
Sci Rep; 2022 Jul; 12(1):11623. PubMed ID: 35803996
[TBL] [Abstract][Full Text] [Related]
5. Efficient and Highly Accurate Diagnosis of Malignant Hematological Diseases Based on Whole-Slide Images Using Deep Learning.
Wang C; Wei XL; Li CX; Wang YZ; Wu Y; Niu YX; Zhang C; Yu Y
Front Oncol; 2022; 12():879308. PubMed ID: 35756613
[TBL] [Abstract][Full Text] [Related]
6. Evaluation of deep learning training strategies for the classification of bone marrow cell images.
Glüge S; Balabanov S; Koelzer VH; Ott T
Comput Methods Programs Biomed; 2024 Jan; 243():107924. PubMed ID: 37979517
[TBL] [Abstract][Full Text] [Related]
7. Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study.
Yang H; Chen L; Cheng Z; Yang M; Wang J; Lin C; Wang Y; Huang L; Chen Y; Peng S; Ke Z; Li W
BMC Med; 2021 Mar; 19(1):80. PubMed ID: 33775248
[TBL] [Abstract][Full Text] [Related]
8. An Automated Pipeline for Differential Cell Counts on Whole-Slide Bone Marrow Aspirate Smears.
Lewis JE; Shebelut CW; Drumheller BR; Zhang X; Shanmugam N; Attieh M; Horwath MC; Khanna A; Smith GH; Gutman DA; Aljudi A; Cooper LAD; Jaye DL
Mod Pathol; 2023 Feb; 36(2):100003. PubMed ID: 36853796
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. An end-to-end breast tumour classification model using context-based patch modelling - A BiLSTM approach for image classification.
Tripathi S; Singh SK; Lee HK
Comput Med Imaging Graph; 2021 Jan; 87():101838. PubMed ID: 33340945
[TBL] [Abstract][Full Text] [Related]
12. Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study.
Yamashita R; Long J; Longacre T; Peng L; Berry G; Martin B; Higgins J; Rubin DL; Shen J
Lancet Oncol; 2021 Jan; 22(1):132-141. PubMed ID: 33387492
[TBL] [Abstract][Full Text] [Related]
13. Deep Learning Fast Screening Approach on Cytological Whole Slides for Thyroid Cancer Diagnosis.
Lin YJ; Chao TK; Khalil MA; Lee YC; Hong DZ; Wu JJ; Wang CW
Cancers (Basel); 2021 Aug; 13(15):. PubMed ID: 34359792
[TBL] [Abstract][Full Text] [Related]
14. Whole slide image representation in bone marrow cytology.
Mu Y; Tizhoosh HR; Dehkharghanian T; Campbell CJV
Comput Biol Med; 2023 Nov; 166():107530. PubMed ID: 37837726
[TBL] [Abstract][Full Text] [Related]
15. Learning binary and sparse permutation-invariant representations for fast and memory efficient whole slide image search.
Hemati S; Kalra S; Babaie M; Tizhoosh HR
Comput Biol Med; 2023 Aug; 162():107026. PubMed ID: 37267827
[TBL] [Abstract][Full Text] [Related]
16. Deep learning-enabled whole slide imaging (DeepWSI): oil-immersion quality using dry objectives, longer depth of field, higher system throughput, and better functionality.
Guo C; Jiang S; Yang L; Song P; Wang T; Shao X; Zhang Z; Murphy M; Zheng G
Opt Express; 2021 Nov; 29(24):39669-39684. PubMed ID: 34809325
[TBL] [Abstract][Full Text] [Related]
17. Artificial Intelligence-Based Screening for Mycobacteria in Whole-Slide Images of Tissue Samples.
Pantanowitz L; Wu U; Seigh L; LoPresti E; Yeh FC; Salgia P; Michelow P; Hazelhurst S; Chen WY; Hartman D; Yeh CY
Am J Clin Pathol; 2021 Jun; 156(1):117-128. PubMed ID: 33527136
[TBL] [Abstract][Full Text] [Related]
18. High-accuracy morphological identification of bone marrow cells using deep learning-based Morphogo system.
Lv Z; Cao X; Jin X; Xu S; Deng H
Sci Rep; 2023 Aug; 13(1):13364. PubMed ID: 37591969
[TBL] [Abstract][Full Text] [Related]
19. Histopathology classification and localization of colorectal cancer using global labels by weakly supervised deep learning.
Zhou C; Jin Y; Chen Y; Huang S; Huang R; Wang Y; Zhao Y; Chen Y; Guo L; Liao J
Comput Med Imaging Graph; 2021 Mar; 88():101861. PubMed ID: 33497891
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
