AI model for classifying breast cancer from tissue images
Official title: A Study on Artificial Intelligence Algorithms for Breast Cancer Classification From Histopathology Images
Run by Bangladesh University of Engineering and Technology · NCT06717984 · Data updated 2026-11-12
This study is testing a new AI tool that helps doctors better identify different types of breast cancer from tissue images to improve diagnosis and treatment for patients.
Quick facts
| Study type | Observational |
|---|---|
| Sex | Women only |
| Enrollment | 500 (estimated) |
| Sponsor | Bangladesh University of Engineering and Technology Academic / other |
| Locations | 1 site (Dhaka) |
| Status | Recruiting |
| Started | January 11, 2024 |
| Main results expected | February 11, 2025 |
| Study ends | February 11, 2025 |
| Registry record updated | December 5, 2024 |
| Trial ID | NCT06717984 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are female patients of any age who are willing to participate in breast cancer screening and have no current or prior diagnosis of breast cancer.
✕Probably not a fit
Patients who are pregnant or have severe medical conditions that may interfere with the accuracy of screening results will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This research focuses on improving breast cancer diagnostics by utilizing deep learning techniques to classify invasive and noninvasive breast cancer types from histopathological images. Traditional methods of diagnosis are often subjective and inefficient, leading to the need for a more accurate and scalable solution. The AI model aims to automate image analysis, enhancing diagnostic accuracy and making cancer screening more accessible, especially in underserved populations. By analyzing tissue samples, the study seeks to provide a reliable classification that can improve patient outcomes.
Why it matters
Potential benefit: If successful, this AI model could significantly enhance the accuracy and efficiency of breast cancer diagnosis, leading to earlier detection and better patient outcomes.
How similar studies have gone: Other studies utilizing AI for histopathological analysis have shown promising results, indicating potential success for this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
* Inclusion criteria: * Female patients of any age can be selected as subjects. * Individuals willing to participate in breast cancer screening. * Availability for biopsy examination. * Women with no current or prior diagnosis of breast cancer. * Availability of relevant medical records for confirmation and comparison purposes. * Exclusion criteria: * Pregnant women are excluded due to potential impacts on screening results and the necessity for special considerations during pregnancy. * Individuals with severe medical conditions or circumstances that may render histopathologic examination inappropriate or unsafe are excluded. * Patients with conditions that could interfere with the accuracy of screening results are excluded. * Follow-up screenings are not included in this study.
Where it's running
-
National Institute of Cancer Research & Hospital (NICRH)
Dhaka, Bangladesh Recruiting
Study contacts
- Principal investigator: Taufiq Hasan, PhD — Department of Biomedical Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka - 1205.
- Study coordinator: Taufiq Hasan, PhD
- Email: taufiq@bme.buet.ac.bd
- Phone: +8801817579844
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.