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prathimacode-hub / ML-ProjectKart

🙌Kart of 232+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.
https://prathimacode-hub.github.io/ML-ProjectKart/
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Brain Tumor Detection and Classification #59

Closed PriyankaHotchandani closed 3 years ago

PriyankaHotchandani commented 3 years ago

As a participant of LGM-SOC'21, I would like to contribute by building a model for detection of brain tumor from MRI images of the patient and then further classify them as pituitary, glioma, or meningioma.

The dataset to be used: https://www.kaggle.com/sartajbhuvaji/brain-tumor-classification-mri

prathimacode-hub commented 3 years ago

Interesting project. Kindly raise a new issue using the template mentioned in README along with short details of project and dataset to get an issue assigned to you. @PriyankaHotchandani

PriyankaHotchandani commented 3 years ago

Title: Brain Tumor Detection and Classification About: Building a model for detection and classification of brain tumor from MRI images of the patient Name: Priyanka Hotchandani Label: Feature Request Assignee:

Define You:

Is your feature request related to a problem? Please describe. Diagnosis of brain tumors in the early stages of the tumor’s start is difficult because it cannot accurately measure the size and resolution of the tumor. Therefore, the treatment of tumor depends on the timely diagnosis of the tumor. For skilled radiologists, analysis of multimodal MRI scans can take up to 20 minutes. Since manual image feature extraction methods are very time inefficient, limited to operator experience, and are prone to human error, a reliable and fully automatic classification method using MRI data is necessary for efficient cancer detection.

Describe the solution you'd like... Build a model to detect whether a brain tumor is present in a patient or not. If the presence of tumor is detected, it is then classified into ‘Glioma’, ‘Pituitary’ and ‘Meningioma’. This automated detection technique facilitates accurate, efficient and cost-effective detection of brain tumors whilst alleviating the bottleneck of limited diagnosis time for doctors. Dataset: https://www.kaggle.com/sartajbhuvaji/brain-tumor-classification-mri

prathimacode-hub commented 3 years ago

Can you raise a new issue with the same information given here. You had explained it wonderfully. Kudos. Once you do it, I shall assign the issue. @PriyankaHotchandani

PriyankaHotchandani commented 3 years ago

Done, I'm sorry for the initial inconvenience.

prathimacode-hub commented 3 years ago

No, that's ok. That's how we learn right from our mistakes. @PriyankaHotchandani