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ankit-ai / GAN_breast_mammography_segmentation

SegNet-cGAN and UNET-cGAN for Breast Mammography Segmentation
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environment #1

Open huqixing9578 opened 5 years ago

huqixing9578 commented 5 years ago

Can you tell me the environment such as edition of tensorflow?

NIEQINQIN commented 5 years ago

Can you tell me the environment such as edition of tensorflow?

nswathi10 commented 4 years ago

Can you tell me the environment such as edition of tensorflow?

i am stuck at the same point. did u figure out which version of tensorflow we need to install?please let me know, i need it .

nswathi10 commented 4 years ago

Can you tell me the environment such as edition of tensorflow?

did u figure out the version of tensorflow? please let me know.

nswathi10 commented 4 years ago

i figured out it is tensorlayer==1.8 tensorflow==1.4.0 scipy==1.1.0 this worked for me, thank you

past1988 commented 4 years ago

i figured out it is tensorlayer==1.8 tensorflow==1.4.0 scipy==1.1.0 this worked for me, thank you

Did the program run successfully? Can you tell me how the CBIS-DDSM dataset becomes png format

nswathi10 commented 4 years ago

i figured out it is tensorlayer==1.8 tensorflow==1.4.0 scipy==1.1.0 this worked for me, thank you

Did the program run successfully? Can you tell me how the CBIS-DDSM dataset becomes png format

Yes i could run the program, only thing is ,in utils.py i commented tissue augmentation part bcoz i had no idea about the file that is used there-->

def tissue_augment(im_tumor,is_mask=False): if not is_mask: choice=random.randint(0,13) im_free=imread('./bibu/'+str(choice)+'.png') im_free = im_free.reshape((im_free.shape[0], im_free.shape[1], 1)) im_free = im_free/np.max(im_free) im_tumor = im_tumor/np.max(im_tumor) img3 = (im_free+im_tumor)/2 return img3 return im_tumor accordingly comment out the codes calling this function in the main.py Also you can search for code to convert .dcm to .png format.

past1988 commented 4 years ago

i figured out it is tensorlayer==1.8 tensorflow==1.4.0 scipy==1.1.0 this worked for me, thank you

Did the program run successfully? Can you tell me how the CBIS-DDSM dataset becomes png format

Yes i could run the program, only thing is ,in utils.py i commented tissue augmentation part bcoz i had no idea about the file that is used there-->

def tissue_augment(im_tumor,is_mask=False): if not is_mask: choice=random.randint(0,13) im_free=imread('./bibu/'+str(choice)+'.png') im_free = im_free.reshape((im_free.shape[0], im_free.shape[1], 1)) im_free = im_free/np.max(im_free) im_tumor = im_tumor/np.max(im_tumor) img3 = (im_free+im_tumor)/2 return img3 return im_tumor accordingly comment out the codes calling this function in the main.py Also you can search for code to convert .dcm to .png format.

Thank you very much

goncatoprak commented 3 years ago

How to run the code? Thanks.

nswathi10 commented 3 years ago

Hi,

It's been almost one year since I ran the code, so I kind of, have lost it in the loop. Please send me the link to this particular github repo, and I will run it again as soon as possible.

Thank you.

On Mon, 21 Jun 2021, 20:36 Gonca Toprak, @.***> wrote:

How to run the code? Thanks.

— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/ankit-ai/GAN_breast_mammography_segmentation/issues/1#issuecomment-865109662, or unsubscribe https://github.com/notifications/unsubscribe-auth/AK5MCXUNROUNPMLFUUGR7NTTT5IQFANCNFSM4HXY7AZQ .

goncatoprak commented 3 years ago

Hi, which link do you want me to share? I don't get it, sorry. https://github.com/ankit-ai/GAN_breast_mammography_segmentation I was trying to run this code if it is what you are asking for. Thank you for the quick reply by the way.

nswathi10 commented 3 years ago

Hi, It is the link that I was asking...I l run the code whenever asap and let you know. Thanks

On Tue, 22 Jun 2021, 11:38 Gonca Toprak, @.***> wrote:

Hi, which link do you want me to share? I don't get it, sorry. https://github.com/ankit-ai/GAN_breast_mammography_segmentation I was trying to run this code if it is what you are asking for. Thank you for the quick reply by the way.

— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/ankit-ai/GAN_breast_mammography_segmentation/issues/1#issuecomment-865625286, or unsubscribe https://github.com/notifications/unsubscribe-auth/AK5MCXQ6LFQSD32UQF2VFD3TUASFTANCNFSM4HXY7AZQ .

goncatoprak commented 3 years ago

Thank you so much. Waiting to hear from you. Best.

Up029 commented 1 year ago

Hi, It is the link that I was asking...I l run the code whenever asap and let you know. Thanks … On Tue, 22 Jun 2021, 11:38 Gonca Toprak, @.***> wrote: Hi, which link do you want me to share? I don't get it, sorry. https://github.com/ankit-ai/GAN_breast_mammography_segmentation I was trying to run this code if it is what you are asking for. Thank you for the quick reply by the way. — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#1 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AK5MCXQ6LFQSD32UQF2VFD3TUASFTANCNFSM4HXY7AZQ .

Hi, have you been able to run the task successfully? I was able to run it, but the results were bad. The resulting picture is only gray. I'm curious to know whether the input pictures should be represented as integers between 0 and 255 with 8 bits or as binary values 0 and 1.

kharanshu2 commented 1 year ago

this thread was very informative, can you guys provide pre-trained models for inference so I can test them?