Tutorial 118 - Binary semantic segmentation using U-Net (in Keras)

[@fernandocanizares9521]

Thx you very much for your example and your nice explanation. Hope to see more content from you!

[@ZEISS_arivis]

Thanks, will do!

[@shynimoon123]

Dear Sreeni sir , this video helped me so much .. thanks a lot

[@불루이보스]

Thanks a lot! Your really good teacher, sir!!

[@nibhanapuri4476]

Good morning, I working with diabetic retinopathy lesion detection using unet. But I am unable to produce good segmentation results .can you suggest me tips to improve the model and hyper parameter tunning

[@antoniojunior4853]

did you figure out any solution? I'm having the same problem.. I'm getting reasonable results of accuracy recall etc.. but Im not able to produce good segmentation...

[@taharabs8006]

did u guys figure it out !!

[@v_explore4123]

Thank you so much sir! In your opinion, can you suggest if there is any CNN which is better than U-Net on segmentation for biomedical imaging ?

[@蘇裕宸-j2m]

Sir,what should i do to get the confidence of the object? Thx you very much

[@sohailmaqsood381]

I am facing this error. Can somebody help me? image_dataset = np.array(images) image_dataset = np.expand_dims(image_dataset, axis = 3) AxisError: axis 3 is out of bounds for array of dimension 2

[@jayeshpattamatta8958]

I am also facing the same error if I keep this axis as 3. mask_dataset = np.array(masks) ValueError: could not broadcast input array from shape (1850,1748,3) into shape (1850,) is coming due to this

[@nazilaameli8639]

Thanks for the fantastic presentation! the prediction gives me black images, how can I fix it? I am working on tooth radiographs trying to segment the crowns. thanks

[@subhayanmondal735]

Thank you so much Sir for such a great presentation... Sir, can I do segmentation of any image size with this code? I am working in the field of radiation oncology and I am working on organ segmentation from CT/MRI images. I need your valuable suggestions regarding the same.

[@matancadeporco]

i'm did this with my datased containg images of tomato leaves, got IOU score of 1.0 (thats bad right?) and on the prediciton plot, i got nothing, just a black square... what u think its going wrong? ty 4 ur videos, its helping me a lot

[@ZEISS_arivis]

IOU of 1.0 means you are getting 100% overlap between prediction and labels. This is unusual! Please make sure your are indeed comparing predictions and original masks.

[@adnanebadaoui4033]

me too i have black square help please

[@shabinaa6407]

Sir, it works very well on Corpus callosum segmentation, and for Lateral Ventricle segmentation it gives only black image and shows error: predictions` out of bound Condition x < y did not hold, in IOU_keras.update_state(y_pred_thresholded, y_test).

[@naiyraelkady8204]

can u tell me if this is considered a pre-trained model or not

[@shabinaa6407]

@@naiyraelkady8204 No, pre-trained means model is trained and saved, you have to just call that model and give your input. before providing input u must match your input size.

[@shabinaa6407]

I got segmentation after changing a number of filters. thank you @Apeer_micro

[@ZEISS_arivis]

I am glad you figured out the problem and fixed it.

[@antoniojunior4853]

I'm having the same problem (getting black image prediction)... and I cant figure that out.. I tried to change the number of filters but it didnt solve my problem..

[@raiden4743]

I am getting an error "ValueError: Found input variables with inconsistent numbers of samples: [80, 0]" can anyone help me with this. I am new to this field.

[@nataliameira2283]

What is the exported format?

[@nataliameira2283]

What tool did you use to label the data?

[@banjerdsa-ngiem1510]

Can I train with image 1080*1080 ?

[@siobhanlight7109]

Thank you so much!

[@dantec.dagandanan3732]

thank you so much ser.

[@jocelynw6360]

Sir i am new to this, so I am trying to segment CXR using Unet. I found some data from kaggle but it doesn't contain the mask part.. How do I extract the mask image sir.. I really need help sir..

[@aravindramkumarkrishnan8135]

Hey there! There is a video by a person named Seth Adams. He explains how masks can be created from images. Here's the link to the video: kzbin.info/www/bejne/q5W1Z4atpM-MjtE I hope you find this useful!

[@yordanosbirhanu483]

u have to segmnetation the image first do annotation

[@EmilTheLongshoreman]

Use something like label studio to annotate the CXR images with 'areas of interest' then export the mask for training, there are a bunch of tutorials how to do this online. not ideal because you have to manually do this step sometimes but this is one way to accomplish your task here

[@sergiotalegon9868]

THANK YOU :)

[@nibhanapuri4476]

Code used in video is not available in your github repo and please share

[@ZEISS_arivis]

Just checked, it is there. Please check again.

[@bourdayrachid3855]

thank you teacher for your interssent explication can you please share with me the sildes for architecture unet Used

[@fuegopuro5933]

Can you go with BRATS pls?

[@gampangji6171]

Pardon me, Can I get you Email Please ?? thank you so much