Brain Tumor Detection Using Deep Learning | Step By Step Solution | Deep Learning Project

#codersarts #ml #machinelearning #datascience #ai #python #kaggle #jupyternotebook #googlecolab #deeplearning

This is the second part of the BRAIN TUMOR DETECTION Project where we create a complete project on Kaggle Community Platform regarding classification of MRI images into types of Brain tumour or no tumour based on training data. We use Data directory flow, Convolutional Neural Network from Keras and Sequential Model along with OpenCV for creation of our model. As a result we will be able to predict accurately whether the MRI image shows any tumour or not.

We create a Neural Network based on VGG16 but has lower parameters and is faster due to the same reason.

Chapters:
00:00 Getting Started With Brain Tumor Detection Deep Learning Project
02:45 Libraries
09:55 Working on Data
23:56 Train Test Split
31:15 Neural Network Creation
42:10 Training Model
45:14 Saving and Plotting
50:52 Prediction of Tumour

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[tıbhendese]

It is a classification approach, you can also study for the segmentation or object detection approach for more effective and beneficial product.
This dataset includes different sequences of MRI images. It should have contained only 1 type.
Moreover, you have to consider that, this dataset includes different anatomical planes as transverse, sagittal and coronal. The data owners or the researches should divide and categorize the dataset into more appropriate and consistent form. We need a transverse dataset, sagittal dataset and coronal dataset.

[parrotsafari]

great explaination. Keep up the good work sir

[gameplaynostalgia_]

perfect explaination, could you please tell us how to handle rgb and grayscale images in cnn classifier and how to prevent a bad classification?

[shashankbewoor]

Sir on what basis the model is classifying the types of tumour (what aree the features )

[Navyaucirikayala]

Hii sir this is the good project, sir plz provide the data like existing and proposed data plzz sir and also what is the disadvantage of existing project and what is the advantages of proposed project.what algorithms are used in existing project and what are the proposed algorithm.plzzz sir reply this is the very helpful too meeee plzzz reply

[AISHA-jzro]

In my kaggle the setting option is not available by which i can choose the GPU, how can i do that please tell me can i train this project on DGX supercomputer

[kellykampamba]

Why is it that my AL is predicting very well the on types of brain tumor images it was trained on but on a Google image that has brain tumor it is not ?please help!

[adityarai]

how can i use this code in jupyter notebook how to bring dataset there

[tasnimahmedfathy]

Hi this amazing project, thanks for your effort can i contact with you to help me with some thing, i have a data set about diabetic rethinopathy and i want to know how can i build the model to detect diabetes,

[sravansunkara]

Is using GPU P100 costs money? or can we use it for free?

[sameekshashetty]

Hey can you add any other models to it ?can you suggest which model goes with it ?

[rangababu]

Sir, please provide the link to part -1

[dhruvagrawal]

in last if im calling for other output from no tumor its still showing 3 !!! how ?

[sanchh]

Is your code using vgg architecture while doing convolution and pooling?

[DeepinderKaur-uz]

history = model.fit(X_train, Y_train, epochs=30, validation_split=0.1) While executing this code, the accuracy in my case keeps on decreasing with every epoch? Is there any mistake in the code?

[prateekkaushal]

Kaggle pr register nhi hota h kaise kare??

[lifemasterybeyondlimits]

Train test split part is now working on my laptop

[mubashirtariq]

This below code is not run properly please check it.Thanks
X_train, X_test, y_train, y_test = train_test_split(X_train, Y_train, test_size=0.1, random_state=101)

[AbhijeetDhane]

There is no option to select accelerator in kaggle notebook right now ?? What to do ?

[ritanshshrivastava]

Can i run this project on jupyter notebook ?