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Time depending images as input in a CNN
The Next CEO of Stack Overflow2019 Community Moderator ElectionQuestions about CNN: weights and biasesHow to correctly resize input images in a CNN?Several fundamental questions about CNNHow to use keras flow method?Difficulty in choosing Hyperparameters for my CNNDeep learning with Tensorflow: training with big data setsWeighting influence of two neural networks on classificationModel Not Learning with Sparse Dataset (LSTM with Keras)Training regression LTSM model with features having more than one value per timeRemedies to CNN-LSTM overfitting on relatively small image dataset
$begingroup$
I'll try my best to be understood, thank you for reading.
So this is the problem :
I'm asked to predict cancer on X-ray as early as possible. The dataset is composed of images in this form img_patient1_week1,img_patient1_week2, img_patient1_week3
and that for a lot of different patient.
Some of them did develop cancer and we can see the tumor growing with the weeks, and some of them didn't.
I usually train a CNN for classification with images but here it's quite different since I want to predict if something is about to happen for a new patient as early as possible (week 1 or week 2) by detecting patterns while training.
Maybe I should go for a CNN and a Recurrent Neural Network to create a link between the images of the same patient ?
So I don't know how to do this or if it's the right way of handling it.
Thank you for your help,
b.
deep-learning cnn
asked Mar 22 at 17:25
Bilal AlauddinBilal Alauddin
61
New contributor
Bilal Alauddin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I'll try my best to be understood, thank you for reading.
So this is the problem :
I'm asked to predict cancer on X-ray as early as possible. The dataset is composed of images in this form img_patient1_week1,img_patient1_week2, img_patient1_week3
and that for a lot of different patient.
Some of them did develop cancer and we can see the tumor growing with the weeks, and some of them didn't.
I usually train a CNN for classification with images but here it's quite different since I want to predict if something is about to happen for a new patient as early as possible (week 1 or week 2) by detecting patterns while training.
Maybe I should go for a CNN and a Recurrent Neural Network to create a link between the images of the same patient ?
So I don't know how to do this or if it's the right way of handling it.
Thank you for your help,
b.
deep-learning cnn
asked Mar 22 at 17:25
Bilal AlauddinBilal Alauddin
61
New contributor
Bilal Alauddin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
$begingroup$
Your approach is the correct approach to solve this problem. Treat the series of images as frames of a video.
$endgroup$
– thanatoz
Mar 23 at 9:28
add a comment |
$begingroup$
I'll try my best to be understood, thank you for reading.
So this is the problem :
I'm asked to predict cancer on X-ray as early as possible. The dataset is composed of images in this form img_patient1_week1,img_patient1_week2, img_patient1_week3
and that for a lot of different patient.
Some of them did develop cancer and we can see the tumor growing with the weeks, and some of them didn't.
I usually train a CNN for classification with images but here it's quite different since I want to predict if something is about to happen for a new patient as early as possible (week 1 or week 2) by detecting patterns while training.
Maybe I should go for a CNN and a Recurrent Neural Network to create a link between the images of the same patient ?
So I don't know how to do this or if it's the right way of handling it.
Thank you for your help,
b.
deep-learning cnn
asked Mar 22 at 17:25
Bilal AlauddinBilal Alauddin
61
New contributor
Bilal Alauddin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I'll try my best to be understood, thank you for reading.
So this is the problem :
I'm asked to predict cancer on X-ray as early as possible. The dataset is composed of images in this form img_patient1_week1,img_patient1_week2, img_patient1_week3
and that for a lot of different patient.
Some of them did develop cancer and we can see the tumor growing with the weeks, and some of them didn't.
I usually train a CNN for classification with images but here it's quite different since I want to predict if something is about to happen for a new patient as early as possible (week 1 or week 2) by detecting patterns while training.
Maybe I should go for a CNN and a Recurrent Neural Network to create a link between the images of the same patient ?
So I don't know how to do this or if it's the right way of handling it.
Thank you for your help,
b.
deep-learning cnn
deep-learning cnn
asked Mar 22 at 17:25
Bilal AlauddinBilal Alauddin
61
New contributor
Bilal Alauddin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Mar 22 at 17:25
Bilal AlauddinBilal Alauddin
61
New contributor
Bilal Alauddin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Mar 22 at 17:25
Bilal AlauddinBilal Alauddin
61
New contributor
Bilal Alauddin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Mar 22 at 17:25
Bilal AlauddinBilal Alauddin
61
asked Mar 22 at 17:25
Bilal AlauddinBilal Alauddin
61
61
New contributor
Bilal Alauddin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Bilal Alauddin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Bilal Alauddin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$begingroup$
Your approach is the correct approach to solve this problem. Treat the series of images as frames of a video.
$endgroup$
– thanatoz
Mar 23 at 9:28
add a comment |
$begingroup$
Your approach is the correct approach to solve this problem. Treat the series of images as frames of a video.
$endgroup$
– thanatoz
Mar 23 at 9:28
$begingroup$
Your approach is the correct approach to solve this problem. Treat the series of images as frames of a video.
$endgroup$
– thanatoz
Mar 23 at 9:28
$begingroup$
Your approach is the correct approach to solve this problem. Treat the series of images as frames of a video.
$endgroup$
– thanatoz
Mar 23 at 9:28
add a comment |
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Bilal Alauddin is a new contributor. Be nice, and check out our Code of Conduct.
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$begingroup$
Your approach is the correct approach to solve this problem. Treat the series of images as frames of a video.
$endgroup$
– thanatoz
Mar 23 at 9:28