Lung Cancer Detection Using CNN | Python Final Year Project 2023

Lung Cancer Detection Using CNN | Python Final Year Project 2023.
🛒Buy Link: bit.ly/3etyzLK
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🔗Email: [e-mail],
🌐Website: www.jpinfotech...
📌Project Title: Lung Cancer Detection Using CNN.
💡Implementation Code: Python.
🚀Algorithm / Model Used: CNN Model Architecture.
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.
💰Cost (In Indian Rupees): Rs.5000/.
Project Abstract:
Lung cancer is one of the most lethal cancer types; thousands of peoples are infected with this type of cancer, and if they do not discover it in the early stages of the disease, then the chance of surviving of the patient will be very poor. For the suggested reasons above and to help in overcoming this terrible, early diagnosis with the assistance of artificial intelligence procedures most needed. Also, it is one of the most common and contributing to deaths among all the cancers. Cases of lung cancer are increasing rapidly. There are about 70,000 cases per year in India. Over the past decade, Cancer detection using deep learning models has been a hot topic, especially in medical image classification. It is worth remarking that CNN models are more advanced at addressing diagnose diseases such as lung cancers because of the higher performance and ability of the CNN. This system presents an approach which utilizes a Convolutional Neural Network (CNN) to classify the tumors found in lung as malignant or benign. The accuracy obtained by means of CNN is 99%, which is more efficient when compared to accuracy obtained by the traditional existing systems. This done by applying convolutional neural network technique to a data set of lung cancer CT scans.
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[@sanjeevkumarb8416]

the web page for this was created using wht stack ??

[@jpinfotechprojects]

@@sanjeevkumarb8416 HTML,CSS,JS

[@ss_v003]

Sir, can I get the source of dataset for this project

[@jpinfotechprojects]

Email to: [e-mail]

[@richardgonsalves-u7m]

can i do this project by using chest x ray images for lung cancer detection? is it possible?

[@jpinfotechprojects]

In this project we have trained the model using CT Images only. So it will not work on x-ray images. We need to develop a new model for x-ray images.

[@chandanam8806]

Can we run this project using opencv module

[@jpinfotechprojects]

We have not used OpenCV in it.

[@sasi-yt2907]

What is the algorithm used in this project

[@DM.DE.DA.DS.ML.DL.Ai1]

I think CNN cuz it used for classification of pictures

[@jpinfotechprojects]

CNN Model Architecture.

[@--DIVYAARP]

I'm willing to purchase this

[@jpinfotechprojects]

You can purchase it through the Link given in the description or you can email to: [e-mail]

[@bethapudisandeep3155]

Is this a Major or minor project

[@jpinfotechprojects]

Major Project

[@josephinecudjoe9068]

Can this be applied to breast cancer?

[@jpinfotechprojects]

No. The model varies. We need to train up the system with the relevant dataset and create a new model for breast cancer detection

[@ankitgaidhar3324]

Can you share dataset

[@jpinfotechprojects]

Email to: [e-mail]

[@logeshaswin8090]

but they will ask where do you got the sample images

[@jpinfotechprojects]

Kaggle

[@DesiredmixTube01]

Price?

[@jpinfotechprojects]

Rs.5000/

[@keepitup123-z6u]

Does free project available

[@jpinfotechprojects]

Sorry, no. We're not providing free project.

[@DM.DE.DA.DS.ML.DL.Ai1]

Can you help me brother to make same of your project?
I'm searching for jobs and I find training they want me to make this project by using CNN then maybe they accept me in training
please my friend

[@jpinfotechprojects]

@@DM.DE.DA.DS.ML.DL.Ai1 It's a Paid Project. If you are willing to purchase it then you can email to: [e-mail] (or) WhatsApp to: [phone]

[@nityasanthoshinidoki2629]

Please share code also

[@jpinfotechprojects]

It's Paid Project. If you are willing to purchase it, then you can email to: [e-mail] (or) Whatsapp to: [phone]

[@biniyammulualem8559]

please share the documnet and code

[@jpinfotechprojects]

It's a Paid Project. If you are willing to purchase it, then you can email to: [e-mail], (or) Whatsapp to: [phone]