Giter Site home page Giter Site logo

Comments (19)

dwang-sflscientific avatar dwang-sflscientific commented on May 22, 2024

Hey @A-kali, did you find the classification model implementation?

from medicalnet.

A-kali avatar A-kali commented on May 22, 2024

Hey @A-kali, did you find the classification model implementation?

yeah, I remove the upsample layers and add a fc_layer

from medicalnet.

dwang-sflscientific avatar dwang-sflscientific commented on May 22, 2024

Thanks @A-kali ! Really appreciated your help!

from medicalnet.

123liluky avatar 123liluky commented on May 22, 2024

@A-kali @dwang-sflscientific Did you get pleased classification results? How about the classification accuracy.

from medicalnet.

dwang-sflscientific avatar dwang-sflscientific commented on May 22, 2024

I used it for an image-wise regression task. The performance is competitive.

from medicalnet.

MengyunQ avatar MengyunQ commented on May 22, 2024

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.

A-kali avatar A-kali commented on May 22, 2024

from medicalnet.

MengyunQ avatar MengyunQ commented on May 22, 2024

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.

hajra90 avatar hajra90 commented on May 22, 2024

hello @A-kali can you please share the classification code with me as well. I shall be thankful.

from medicalnet.

zeeshannisar avatar zeeshannisar commented on May 22, 2024

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.

A-kali avatar A-kali commented on May 22, 2024

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.

hajra90 avatar hajra90 commented on May 22, 2024

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.

A-kali avatar A-kali commented on May 22, 2024

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.

Margherita96 avatar Margherita96 commented on May 22, 2024

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.

Irises1 avatar Irises1 commented on May 22, 2024

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.

Eugenel00 avatar Eugenel00 commented on May 22, 2024

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.

NAMZseng avatar NAMZseng commented on May 22, 2024

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.

zsddd avatar zsddd commented on May 22, 2024

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[email protected]

我已将文件发送给您,但失败了。我会尝试重新发送它。

@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.

lander1003 avatar lander1003 commented on May 22, 2024

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)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.