Comments (19)
Hey @A-kali, did you find the classification model implementation?
from medicalnet.
Hey @A-kali, did you find the classification model implementation?
yeah, I remove the upsample layers and add a fc_layer
from medicalnet.
Thanks @A-kali ! Really appreciated your help!
from medicalnet.
@A-kali @dwang-sflscientific Did you get pleased classification results? How about the classification accuracy.
from medicalnet.
I used it for an image-wise regression task. The performance is competitive.
from medicalnet.
Hey @A-kali, did you find the classification model implementation?
yeah, I remove the upsample layers and add a fc_layer
Hey, I just started learning. Could you share the code of classification task training?
from medicalnet.
from medicalnet.
Give me your email address and I'll send you the code ------------------ 原始邮件 ------------------ 发件人: "lovemmmax"<[email protected]>; 发送时间: 2020年5月25日(星期一) 晚上9:43 收件人: "Tencent/MedicalNet"<[email protected]>; 抄送: "Hsaki"<[email protected]>;"Mention"<[email protected]>; 主题: Re: [Tencent/MedicalNet] Could it be used to classifition task? (#37) Hey @A-kali, did you find the classification model implementation? re the c yeah, I remove the upsample layers and add a fc_layer Hey, I just started learning. Could you sha ode of classification task training? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or unsubscribe.
Thank you! My email is [email protected]
from medicalnet.
hello @A-kali can you please share the classification code with me as well. I shall be thankful.
from medicalnet.
Give me your email address and I'll send you the code ------------------ 原始邮件 ------------------ 发件人: "lovemmmax"<[email protected]>; 发送时间: 2020年5月25日(星期一) 晚上9:43 收件人: "Tencent/MedicalNet"<[email protected]>; 抄送: "Hsaki"<[email protected]>;"Mention"<[email protected]>; 主题: Re: [Tencent/MedicalNet] Could it be used to classifition task? (#37) Hey @A-kali, did you find the classification model implementation? re the c yeah, I remove the upsample layers and add a fc_layer Hey, I just started learning. Could you sha ode of classification task training? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or unsubscribe.
Hello @A-kali
Can you please share the classification code with me? My email is [email protected].
from medicalnet.
hello @A-kali can you please share the classification code with me as well. I shall be thankful.
How can I contact you?
from medicalnet.
hello @A-kali can you please share the classification code with me as well. I shall be thankful.
How can I contact you?
at [email protected]
thanks
from medicalnet.
Give me your email address and I'll send you the code ------------------ 原始邮件 ------------------ 发件人: "lovemmmax"<[email protected]>; 发送时间: 2020年5月25日(星期一) 晚上9:43 收件人: "Tencent/MedicalNet"<[email protected]>; 抄送: "Hsaki"<[email protected]>;"Mention"<[email protected]>; 主题: Re: [Tencent/MedicalNet] Could it be used to classifition task? (#37) Hey @A-kali, did you find the classification model implementation? re the c yeah, I remove the upsample layers and add a fc_layer Hey, I just started learning. Could you sha ode of classification task training? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or unsubscribe.
Hello @A-kali
Can you please share the classification code with me? My email is [email protected].
I have sent the file to you, but it failed. I will try resending it.
from medicalnet.
Give me your email address and I'll send you the code ------------------ 原始邮件 ------------------ 发件人: "lovemmmax"<[email protected]>; 发送时间: 2020年5月25日(星期一) 晚上9:43 收件人: "Tencent/MedicalNet"<[email protected]>; 抄送: "Hsaki"<[email protected]>;"Mention"<[email protected]>; 主题: Re: [Tencent/MedicalNet] Could it be used to classifition task? (#37) Hey @A-kali, did you find the classification model implementation? re the c yeah, I remove the upsample layers and add a fc_layer Hey, I just started learning. Could you sha ode of classification task training? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or unsubscribe.
Hello @A-kali,
Could you send me the classification code? I would be very grateful. My email is [email protected]
from medicalnet.
Give me your email address and I'll send you the code ------------------ 原始邮件 ------------------ 发件人: "lovemmmax"<[email protected]>; 发送时间: 2020年5月25日(星期一) 晚上9:43 收件人: "Tencent/MedicalNet"<[email protected]>; 抄送: "Hsaki"<[email protected]>;"Mention"<[email protected]>; 主题: Re: [Tencent/MedicalNet] Could it be used to classifition task? (#37) Hey @A-kali, did you find the classification model implementation? re the c yeah, I remove the upsample layers and add a fc_layer Hey, I just started learning. Could you sha ode of classification task training? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or unsubscribe.
Hello @A-kali
Can you please share the classification code with me? My email is [email protected].I have sent the file to you, but it failed. I will try resending it.
Can you share the classification code, thank you very much, my email:[email protected]
from medicalnet.
Hey @A-kali, did you find the classification model implementation?
Hello @A-kali,
Could you send me the classification code? I would be very grateful. My email is :[email protected]
from medicalnet.
Give me your email address and I'll send you the code ------------------ 原始邮件 ------------------ 发件人: "lovemmmax"<[email protected]>; 发送时间: 2020年5月25日(星期一) 晚上9:43 收件人: "Tencent/MedicalNet"<[email protected]>; 抄送: "Hsaki"<[email protected]>;"Mention"<[email protected]>; 主题: Re: [Tencent/MedicalNet] Could it be used to classifition task? (#37) Hey @A-kali, did you find the classification model implementation? re the c yeah, I remove the upsample layers and add a fc_layer Hey, I just started learning. Could you sha ode of classification task training? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or unsubscribe.
Give me your email address and I'll send you the code ------------------ 原始邮件 ------------------ 发件人: "lovemmmax"<[email protected]>; 发送时间: 2020年5月25日(星期一) 晚上9:43 收件人: "Tencent/MedicalNet"<[email protected]>; 抄送: "Hsaki"<[email protected]>;"Mention"<[email protected]>; 主题: Re: [Tencent/MedicalNet] Could it be used to classifition task? (#37) Hey @A-kali, did you find the classification model implementation? re the c yeah, I remove the upsample layers and add a fc_layer Hey, I just started learning. Could you sha ode of classification task training? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or unsubscribe.
Hi @A-kali Could you please send me the classification code? Appreciate it! My email is : [email protected]
from medicalnet.
给我你的电子邮件地址,我会把原始邮件------------------代码发给你,------------------发件人:“lovemmmax”<[email protected]>;发送时间: 2020年5月25日(星期一) 晚上9:43 收件人: “腾讯/MedicalNet”<[email protected]>;抄送: “Hsaki”<[email protected]>;”提及“<[email protected]>;主题: 回复: [腾讯/MedicalNet] 它可以用来分类任务吗?(#37)嘿@A-kali,你找到分类模型实现了吗?是的,我删除了上采样图层并添加了一个fc_layer 嘿,我刚刚开始学习。你能对分类任务培训进行颂歌吗?- 你收到这个是因为你被提及。直接回复此电子邮件、在 GitHub 上查看或取消订阅。
你好@A-kali你能和我分享分类代码吗?我的电子邮件已 [email protected]。
我已将文件发送给您,但失败了。我会尝试重新发送它。
嘿@A-kali,你找到分类模型实现了吗?
是的,我删除了上采样图层并添加了fc_layer
可以发下代码吗,大大?非常感谢 [email protected]
from medicalnet.
Give me your email address and I'll send you the code ------------------ 原始邮件 ------------------ 发件人: "lovemmmax"<[email protected]>; 发送时间: 2020年5月25日(星期一) 晚上9:43 收件人: "Tencent/MedicalNet"<[email protected]>; 抄送: "Hsaki"<[email protected]>;"Mention"<[email protected]>; 主题: Re: [Tencent/MedicalNet] Could it be used to classifition task? (#37) Hey @A-kali, did you find the classification model implementation? re the c yeah, I remove the upsample layers and add a fc_layer Hey, I just started learning. Could you sha ode of classification task training? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or unsubscribe.
Hi @A-kali Could you please send me the classification code? Appreciate it! My email is : [email protected] Thank you !!!
from medicalnet.
Related Issues (20)
- pretrain code
- same for network pretrain code
- What's the input resolution for the pretrained model
- The dataset list of 23 datasets for the pre-trained model HOT 1
- Landmark detection in 3D point clouds
- Starting experiments with MedicalNet; question one: what are parameters --input_D, --input_H, --input_W? HOT 2
- Sharing models through Hugging Face Hub
- Cannot load checkpoints
- on which datasets the models are pretrained ? HOT 1
- Is there any classification code ?
- Contribution to the Open Source Hugging Face community.
- resent 50pth HOT 2
- SRS
- If I want to transfer to my own dataset, do I have to preprocess my data in the same way as you mentioned in your paper?
- Pre-trained models' results
- Project dependencies may have API risk issues
- Classification code with modification of train.py and datasets/brains18.py HOT 16
- Query: Can this be used to identify Chronic Kidney Diseases with Ultrasound scans?
- How to get the pretrained model
- Utilizing resnet_50.pth for 3D Feature Map Extraction HOT 3
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from medicalnet.