ecobost / cnn4brca Goto Github PK

Hello,
So finally, and after running compute_metrics how can I check the existence of lesion in a new input mammogram ? I didn't understand what compute_metrics do .

Thanks,

can you provide us a pre-trained model plz ! and how much time will the training take ?

but after that, the error shows that no such file or directory:'data/training_1.csv.????
@ecobost

Hello,
can you provide us a pre-trained model plz ! and how much time will the training take ?
Thanks,

Hello,
how can i use createMasks.m for my own single mammogram please ?
I didnt understand the code !! should I run it with matlab only , is there any python version ?
Sorry if my question sound stupid !!!

Many Thanks,

hello, I am interest at your code. But how to run your code? can you give some advice？
beside, can you provide some trainning data?

hello,
I'm trying to test your code,
but i come with this error,

Traceback (most recent call last):
File "train.py", line 174, in
train()
File "train.py", line 148, in train
loss_summary = tf.summary.scalar(['logistic_loss', 'loss'], [train_logistic_loss, train_loss], collections=[])
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/summary/summary.py", line 118, in scalar
name = _clean_tag(name)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/summary/summary.py", line 90, in _clean_tag
new_name = INVALID_TAG_CHARACTERS.sub('', name)
TypeError: expected string or bytes-like object

Thanks,

where is model v4.
the train is not working gives n error model_v4 module missing.
@ecobost

hello, Thanks for this code,
Actually, I'm interested in microcalcification detection using CNN algorithm.
Is it possible to modify your code so that i detect microcalcif in mammo ? if yes, How can i proceed plz !

Thanks,