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wentaozhu
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deep-mil-for-whole-mammogram-classification
Zhu, Wentao, Qi Lou, Yeeleng Scott Vang, and Xiaohui Xie. "Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification." MICCAI 2017.
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如何使用INbreast数据集?
#19
Gqingkun
opened
6 months ago
0
How to do the visualization of predicted malignant probabilities? Like in fig 4 of your paper
#18
Khushi-Shah-1
opened
2 years ago
0
Benign/Malignant labels in original InBreast dataset
#17
akbwaj
closed
5 years ago
3
extractdreamdata() is not defined
#16
Nicholasli1995
closed
5 years ago
2
About theano
#15
mrzhangzizhen123
closed
5 years ago
1
在Inbreast数据库中,当图像中有多个肿块时,肿块分类和图像分类都一样吗?
#14
lixiangamy
closed
6 years ago
1
Validation Loss and Accuracy Goes Up and Down Steeply
#13
LLYXC
closed
6 years ago
10
the original InBreast dataset
#12
zhangrong1722
closed
6 years ago
70
Which python code is for label assignment-based MIL ?
#11
daisy647lsq
closed
6 years ago
8
what the “mil”, "mymil","mysparsemil","mysoftmil" stand for? Thanks!
#10
guyucowboy
closed
6 years ago
4
which is the backend for keras, theano or tensorflow?
#9
lxmwust
closed
3 years ago
4
How to do the visualization of predicted malignant probabilities?
#8
c1a1o1
closed
6 years ago
4
Can you tell me your karas version??
#7
c1a1o1
closed
6 years ago
1
Error on line "alexmodel = convnet('alexnet', weights_path='alexnet_weights.h5', heatmap=False, l1=l1factor, l2=l2factor)"
#6
classxiaoli
closed
6 years ago
2
running error:ImportError: cannot import name Merge
#5
zccoder
closed
6 years ago
1
running error
#4
yishanyang
closed
7 years ago
2
how to run your code?
#3
EngNala
closed
6 years ago
1
inbreast.py error
#2
djones4487169
closed
7 years ago
36
Labels.txt has non-binary labeling
#1
yala
closed
7 years ago
2