MedSegDiff
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Medical Image Segmentation with Diffusion Model
我的任务是实现分割,输入的图片对是原图 分割mask图,在使用readme的教程中训练的我的代码,结果发现 模型参数ModelMeanType.EPSILON: noise,也就是unet预测的noise么,调用segmentation_sample.py函数得到的 sample, x_noisy, org, cal, cal_out = sample_fn( model, (batch_size, channels, args.image_size, args.image_size), img, step = args.diffusion_steps, clip_denoised=args.clip_denoised, model_kwargs=model_kwargs, ) sample是noise么,之后怎么处理得到我要的target分割图呢 我在可视化sample后发现和我想要的mask相差甚远,看了模型参数发现预测的是noise 值,是否有朋友知道有输入图 noise 变量 怎么得到mask图,请教各位互联网朋友们,感谢!
你好,我在对于DRIVE数据集上进行采样时,出现了这样问题,请问我该如何解决呢 Traceback (most recent call last): File "E:\deep_learning\Segmentation\MedSegDiff-master\scripts\segmentation_sample.py", line 214, in main() File "E:\deep_learning\Segmentation\MedSegDiff-master\scripts\segmentation_sample.py", line 123, in main sample, x_noisy, org, cal, cal_out = sample_fn( File "E:\deep_learning\Segmentation\MedSegDiff-master\guided_diffusion\gaussian_diffusion.py", line 565, in...
Thank you for all your contributions! But I have some questions: 1. When I read the code, I found that the script(btcvloader.py) is empty. Can you provide it(multi-organ segmentation)? 2....
Excuse me, I don't understand the multi-GPU training model using DP in segmentation_train.py and then using DDP in train_util.py. Is there a conflict?
creating data loader... creating model and diffusion... training... Traceback (most recent call last): File "scripts/segmentation_train.py", line 118, in main() File "scripts/segmentation_train.py", line 70, in main TrainLoop( File "D:\MedSegDiff-master\.\guided_diffusion\train_util.py", line 83,...
how to use ddim if I should set time step

Training on the Brats dataset yields errors, but can still be trained. Please tell me why these errors. /home/ubuntu/anaconda3/envs/medsegdiff/bin/python /media/ubuntu/89696b21-997d-42b2-a1c0-b16d972fd7b72/hlq/MedSegDiff-master/scripts/segmentation_train.py --data_name BRATS --data_dir /media/ubuntu/89696b21-997d-42b2-a1c0-b16d972fd7b72/hlq/data/BraTS2020/training --out_dir './BRATS2020_results/' --image_size 256 --num_channels 128...
Thanks for your great work! I have a question regarding model efficiency mentioned in your paper. In Table 5 of the MedSegDiff-V2 paper, it states that the model has 46M...
Hi, I'm having trouble using the code to train on my own dataset. The problem occurs with the Gaussian_Diffusion module. The question is as follows: Traceback (most recent call last):...