Negative pseudo labeling using class proportion for semantic segmentation in pathology

H Tokunaga, BK Iwana, Y Teramoto… - Computer Vision–ECCV …, 2020 - Springer
In pathological diagnosis, since the proportion of the adenocarcinoma subtypes is related to
the recurrence rate and the survival time after surgery, the proportion of cancer subtypes for …
被引用次数：23 相关文章

Negative Pseudo Labeling Using Class Proportion for Semantic Segmentation in Pathology

H Tokunaga, BK Iwana, Y Teramoto… - … on Computer Vision, 2020 - dl.acm.org
In pathological diagnosis, since the proportion of the adenocarcinoma subtypes is related to
the recurrence rate and the survival time after surgery, the proportion of cancer subtypes for …

Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology

H Tokunaga, BK Iwana, Y Teramoto… - arXiv e …, 2020 - ui.adsabs.harvard.edu
We propose a weakly-supervised cell tracking method that can train a convolutional neural
network (CNN) by using only the annotation of" cell detection"(ie, the coordinates of cell …
[PDF] researchgate.net

[PDF][PDF] Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology

H Tokunaga, BK Iwana, Y Teramoto… - arXiv preprint arXiv …, 2020 - researchgate.net
In pathological diagnosis, since the proportion of the adenocarcinoma subtypes is related to
the recurrence rate and the survival time after surgery, the proportion of cancer subtypes for …

Negative Pseudo Labeling Using Class Proportion for Semantic Segmentation in Pathology

H Tokunaga, BK Iwana, Y Teramoto… - Computer Vision–ECCV …, 2020 - cir.nii.ac.jp
抄録 In pathological diagnosis, since the proportion of the adenocarcinoma subtypes is
related to the recurrence rate and the survival time after surgery, the proportion of cancer …

Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology

H Tokunaga, BK Iwana, Y Teramoto… - arXiv preprint arXiv …, 2020 - arxiv.org
We propose a weakly-supervised cell tracking method that can train a convolutional neural
network (CNN) by using only the annotation of" cell detection"(ie, the coordinates of cell …

Negative Pseudo Labeling Using Class Proportion for Semantic Segmentation in Pathology

H Tokunaga, BK Iwana, Y Teramoto… - 16th European …, 2020 - kyushu-u.elsevierpure.com
In pathological diagnosis, since the proportion of the adenocarcinoma subtypes is related to
the recurrence rate and the survival time after surgery, the proportion of cancer subtypes for …
[PDF] ecva.net

[PDF][PDF] Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology

H Tokunaga, BK Iwana, Y Teramoto, A Yoshizawa… - ecva.net
In pathological diagnosis, since the proportion of the adenocarcinoma subtypes is related to
the recurrence rate and the survival time after surgery, the proportion of cancer subtypes for …

Negative Pseudo Labeling Using Class Proportion for Semantic Segmentation in Pathology

H Tokunaga, BK Iwana… - Computer Vision …, 2020 - repository.kulib.kyoto-u.ac.jp
In pathological diagnosis, since the proportion of the adenocarcinoma subtypes is related to
the recurrence rate and the survival time after surgery, the proportion of cancer subtypes for …

[引用][C] Negative Pseudo Labeling Using Class Proportion for Semantic Segmentation in Pathology

H Tokunaga, BK Iwana, Y Teramoto… - … Vision–ECCV 2020, 2020 - cir.nii.ac.jp
Negative Pseudo Labeling Using Class Proportion for Semantic Segmentation in Pathology |
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