Zobrazeno 1 - 10
of 73
pro vyhledávání: '"DiPalma, Joseph"'
Publikováno v:
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023, pp. 21404-21414
Recent advances in whole-slide image (WSI) scanners and computational capabilities have significantly propelled the application of artificial intelligence in histopathology slide analysis. While these strides are promising, current supervised learnin
Externí odkaz:
http://arxiv.org/abs/2310.12334
Deep learning has been effective for histology image analysis in digital pathology. However, many current deep learning approaches require large, strongly- or weakly-labeled images and regions of interest, which can be time-consuming and resource-int
Externí odkaz:
http://arxiv.org/abs/2209.06185
Autor:
DiPalma, Joseph, Suriawinata, Arief A., Tafe, Laura J., Torresani, Lorenzo, Hassanpour, Saeed
Developing deep learning models to analyze histology images has been computationally challenging, as the massive size of the images causes excessive strain on all parts of the computing pipeline. This paper proposes a novel deep learning-based method
Externí odkaz:
http://arxiv.org/abs/2101.04170
Publikováno v:
In Journal of Pathology Informatics 2023 14
Autor:
DiPalma, Joseph R., Lambert, Joseph J.
Publikováno v:
Science, 1948 Jan . 107(2768), 66-68.
Externí odkaz:
https://www.jstor.org/stable/1674974
Autor:
Stough, Joshua V., DiPalma, Joseph, Ma, Zilin, Fornwalt, Brandon K., Haggerty, Christopher M.
Publikováno v:
Proceedings of SPIE; 1/6/2018, Vol. 10578, p1-7, 7p
Publikováno v:
Science, 1966 Apr . 152(3721), 539-540.
Externí odkaz:
https://www.jstor.org/stable/1718897
Publikováno v:
Science, 1962 Dec . 138(3547), 1338-1339.
Externí odkaz:
https://www.jstor.org/stable/1709712
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