Cancer metastasis detection with neural conditional random field (NCRF)
Github: https://github.com/baidu-research/NCRF?utm_source=telegram&utm_medium=opendatascience
#Baidu #Cancer #Segmentation #cv #DL
Github: https://github.com/baidu-research/NCRF?utm_source=telegram&utm_medium=opendatascience
#Baidu #Cancer #Segmentation #cv #DL
GitHub
GitHub - baidu-research/NCRF: Cancer metastasis detection with neural conditional random field (NCRF)
Cancer metastasis detection with neural conditional random field (NCRF) - baidu-research/NCRF
Nice paper from the #GoogleAI team, grading prostate cancer in prostatectomy specimens.
The model outperforms humans on the silver standard labels (panel of experts), but there is no clear winner for outcome prediction in the K-M plot/c-index.
«the mean accuracy among 29 general pathologists was 0.61. The DLS achieved an... accuracy of 0.70 (p=0.002) and trended towards better patient risk stratification»
Post: https://ai.googleblog.com/2018/11/improved-grading-of-prostate-cancer.html
ArXiV: https://arxiv.org/abs/1811.06497
#DL #medical #cancer
The model outperforms humans on the silver standard labels (panel of experts), but there is no clear winner for outcome prediction in the K-M plot/c-index.
«the mean accuracy among 29 general pathologists was 0.61. The DLS achieved an... accuracy of 0.70 (p=0.002) and trended towards better patient risk stratification»
Post: https://ai.googleblog.com/2018/11/improved-grading-of-prostate-cancer.html
ArXiV: https://arxiv.org/abs/1811.06497
#DL #medical #cancer
Googleblog
Improved Grading of Prostate Cancer Using Deep Learning
Weakly supervised mitosis detection in breast histopathology images using concentric loss
Weakly-supervised mitosis detection in breast histopathology images shows that only using one-click annotation can obtain the best performances on three challenging datasets.
Link: https://www.sciencedirect.com/science/article/abs/pii/S1361841519300118?dgcid=author
#healthcare #medical #CV #cancer #DL
Weakly-supervised mitosis detection in breast histopathology images shows that only using one-click annotation can obtain the best performances on three challenging datasets.
Link: https://www.sciencedirect.com/science/article/abs/pii/S1361841519300118?dgcid=author
#healthcare #medical #CV #cancer #DL
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
A deep convolutional neural network for breast cancer screening exam classification, trained and evaluated on over 200,000 exams (over 1,000,000 images). #nn achieves an #AUC of 0.895 in predicting whether there is a cancer in the breast, when tested on the screening population.
Link: https://arxiv.org/abs/1903.08297
#cv #dl #cancer #objectdetection
A deep convolutional neural network for breast cancer screening exam classification, trained and evaluated on over 200,000 exams (over 1,000,000 images). #nn achieves an #AUC of 0.895 in predicting whether there is a cancer in the breast, when tested on the screening population.
Link: https://arxiv.org/abs/1903.08297
#cv #dl #cancer #objectdetection
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
Researchers from #GoogleAi and #Stanford published work today in #Nature that shows great potential to use machine learning to help catch more lung cancer cases earlier and increase survival likelihood.
Link: http://go.nature.com/2LSMaAz
#LungCancer #Cancer #biolearning #healthcare #DL #CV
Researchers from #GoogleAi and #Stanford published work today in #Nature that shows great potential to use machine learning to help catch more lung cancer cases earlier and increase survival likelihood.
Link: http://go.nature.com/2LSMaAz
#LungCancer #Cancer #biolearning #healthcare #DL #CV
Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach
ArXiV: https://arxiv.org/abs/1912.11027
#Cancer #BreastCancer #DL #CV #biolearning
ArXiV: https://arxiv.org/abs/1912.11027
#Cancer #BreastCancer #DL #CV #biolearning