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OncoSight
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OncoSight

Advancing Brain Tumor Detection with machine learning

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Overview

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Our platform is dedicated to advancing medical image segmentation, with a special focus on accurately detecting brain tumors from MRI scans.​


​We’ve developed this website to assist doctors, streamlining their diagnostic process and saving valuable time.​ By inputting medical images into our system, healthcare professionals can receive predictive insights into the type of cancer present.​

​Additionally, we offer a news and articles section for updates on diseases and medical advancements. To enhance accessibility, we provide a video call feature, facilitating remote consultations between doctors and patients, particularly beneficial for those in remote areas unable to visit a medical professional in person and a 24/7 chatbot assistant which helps to assist query related to brain tumor.

Tags: Technology, Machine Learning, Health

Features

  • Advanced medical image segmentation
  • Accurate detection of brain tumors from MRI scans
  • Streamlined diagnostic process for doctors
  • Predictive insights into cancer types from medical images
  • News and articles section on diseases and medical advancements
  • Video call feature for remote consultations
  • 24/7 chatbot assistant for queries related to brain tumors and lung cancer


Use cases

Primary Actor: Doctor

Stakeholders and Interests:

  • Doctors: Seek to improve the accuracy and efficiency of diagnosing brain tumors.
  • Patients: Desire timely and accurate diagnosis, especially if located in remote areas.
  • Radiologists: Need a reliable tool to assist in the interpretation of MRI scans.
  • Admin: Ensures the platform runs smoothly, manages content updates, and oversees the system's functionality.

Preconditions:

  • The platform is fully operational and accessible to users.
  • Medical images (MRI scans) are available for upload.
  • Users (doctors, radiologists) are registered and logged into the system.

Main Success Scenario:

  1. Upload MRI Scans: The doctor or radiologist logs into the platform and uploads MRI scans of the patient's brain.
  2. Image Analysis: The system processes the images using advanced segmentation algorithms to detect the presence of brain tumors.
  3. Predictive Insights: The platform provides detailed insights into the type of tumor detected, offering valuable information for diagnosis and treatment planning.
  4. Report Generation: A comprehensive report is generated, summarizing the findings and predictive insights, which the doctor can review.
  5. Consultation: The doctor can schedule a video call with the patient to discuss the findings and next steps. If the patient is in a remote area, this feature ensures they receive timely advice.
  6. Continuous Learning: The doctor can access the news and articles section for the latest updates on medical advancements, improving their knowledge and staying informed about new treatments and technologies.
  7. 24/7 Assistance: For additional support, the doctor can use the 24/7 chatbot assistant to get quick answers to queries related to brain tumors.

Extensions:

  1. Radiologist Review: If the initial analysis is ambiguous, the radiologist can review the images and the system's findings to provide a second opinion.
  2. Admin Updates: The admin can periodically update the platform with new articles, medical advancements, and system enhancements to ensure the platform remains up-to-date and relevant.

Postconditions:

  • The doctor has a detailed report and predictive insights to aid in the diagnosis and treatment of the patient.
  • The patient receives a timely and accurate diagnosis, potentially via a remote consultation.
  • The platform remains a reliable and updated resource for medical professionals.


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Freelance Full Stack Developer
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