Stree is an initiative to raise awareness about breast cancer among women, easing the process of diagnosis of breast cancer by the doctors. Official submission for Hack Nagpur 2020 Hackathon.
Breast cancer is the most common invasive cancer in women and the second leading cause of cancer death in women after lung cancer. Understanding it's risk and affect to a women's life, we aim to provide a platfrom for you and your doctors to understand the condition of your breasts. We primarily provide the tool of Breast Cancer Analyser, that accepts Histopathological Image of the breasts along with the prediction type to give the results. There are also guidelines on the importance of Breast Exam and how it can be performed. We are also working towards the feature to connect with the doctor over a video conference, for the patient to connect with the doctor and understand the patient and diagnosis better.
- Breast Cancer Detection tool : Detects 2 types of cancers using 2 AI Models
- Dedicated Dashboard for Patient and Doctor
- Booking Lab/Appointment
- Video Conferencing
- Previuous Prescription & Medical History
- Download and Install Xampp using link :- https://www.apachefriends.org/download.html
- Download the Zip or clone the repository using command : -
git clone https://github.com/priyanshisharma/stree.git- Go to the directory where Xampp is installed. For eg. C:\xampp\htdocs
- Copy the project folder and paste it in the address mentioned above.
- Launch any browser window and search localhost/stree.
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Frontend
- HTML
- CSS
- JavaScript
- React JS
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Backend
- PHP (Used for Video-call Implementation)
- Firebase
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Tools
- Xampp
- Git
- Github
In order to detect cancer, a pathologist examines the slide of tissue under a microscope. S/he visually ensures that there's no cancer and ultimately find malignant areas. We currently provide a tool powered by artifical intelligence which analyses hispathological image i.e. images of glass tissue slides under a microscope, here tissue samples from lymph nodes in order to detect breast cancer. We will be analysing tissues for:
- Invasive Ductal Carcinoma - This is the most common subtype of all breast cancers. Almost 80% of diagnosed breast cancers are of this subtype.
- Metastatic Cancer - A metastatic cancer or metastatic tumor is one that has spread from the site where it started into different area/s of the body.
We use the 'Breast Histopathology Images' dataset available at https://www.kaggle.com/c/histopathologic-cancer-detection.
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IDC_model
- Accuracy: 0.88
- F1 Score: 0.88
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Metastatic_model
- Accuracy: 0.94
- F1 Score: 0.94
References
- https://www.researchgate.net/publication/263052166_Automatic_detection_of_invasive_ductal_carcinoma_in_whole_slide_images_with_Convolutional_Neural_Networks
- https://academic.oup.com/gigascience/article/7/6/giy065/5026175
- Priyanshi Sharma
- Anjali Patle
- Sakshi Bhandarkar