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1CLIP: Connecting text and images
https://openai.com/research/clip
a year ago by @becker
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clipimagetextconnection
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1Docker vs Singularity vs Shifter vs UGE Container Edition
https://tin6150.github.io/psg/blogger_container_hpc.html
a year ago by @becker
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singularity
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1michaellee1/CellSeg
https://github.com/michaellee1/CellSeg
a year ago by @becker
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6DALL·E 2
https://openai.com/dall-e-2/
2 years ago by @becker
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generation
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network
neural
openai
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dallegenerationimagenetworkneuralopenairealistictoread
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1mlflowuihelper.user.js
https://gist.github.com/mgbckr/6079e9ac26b33d9ae393791ce4fd7214
5 years ago by @becker
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mlflowhelperuijavascriptjsjavascriptmlflowhelpertampermonkeygreasemonkeymonkeygreasetampersaveasimagebrowserchromefirefox
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2Image segmentation using deep learning: A survey
S. Minaee, Y. Boykov, F. Porikli, A. Plaza, N. Kehtarnavaz, and D. Terzopoulos. IEEE transactions on pattern analysis and machine intelligence, (2021)
a year ago by @becker
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hecodex
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citedby:scholar:count:1330
citedby:scholar:timestamp:2023-1-5
hecodeximagesegmentationsurveyreviewcitedby:scholar:count:1330citedby:scholar:timestamp:2023-1-5
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1CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images
M. Lee, J. Bedia, S. Bhate, G. Barlow, D. Phillips, W. Fantl, G. Nolan, and C. Schürch. BMC bioinformatics, 23 (1): 1--17 (2022)
a year ago by @becker
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cell
segmentation
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staining
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nucleus
fluorescence
yuqi
citedby:scholar:count:10
citedby:scholar:timestamp:2022-12-2
cellsegmentationhestainingimagenucleusfluorescenceyuqicitedby:scholar:count:10citedby:scholar:timestamp:2022-12-2
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1SiGra: Single-cell spatial elucidation through image-augmented graph transformer
Z. Tang, T. Zhang, B. Yang, J. Su, and Q. Song. bioRxiv, (2022)
2 years ago by @becker
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2A survey on image data augmentation for deep learning
C. Shorten, and T. Khoshgoftaar. Journal of Big Data, 6 (1): 1--48 (2019)
2 years ago by @becker
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augmentation
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learning
citedby:scholar:count:2261
citedby:scholar:timestamp:2021-11-23
imageaugmentationdatasurveydeeplearningcitedby:scholar:count:2261citedby:scholar:timestamp:2021-11-23
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4Deep learning with multimodal representation for pancancer prognosis prediction
A. Cheerla, and O. Gevaert. Bioinformatics, 35 (14): i446--i454 (2019)
3 years ago by @becker
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p21
related
work
multiomics
image
genes
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citedby:scholar:count:31
citedby:scholar:timestamp:2021-2-15
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BibSonomy

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1CLIP: Connecting text and images

1Docker vs Singularity vs Shifter vs UGE Container Edition

1michaellee1/CellSeg

6DALL·E 2

1mlflowuihelper.user.js

publications (hide)17
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2Image segmentation using deep learning: A survey

1CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images

1SiGra: Single-cell spatial elucidation through image-augmented graph transformer

2A survey on image data augmentation for deep learning

4Deep learning with multimodal representation for pancancer prognosis prediction

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