Design and Development of decision support system for detection of breast cancer from Mammograms
Not Applicable
- Conditions
- Health Condition 1: D249- Benign neoplasm of unspecified breastHealth Condition 2: C509- Malignant neoplasm of breast of unspecified siteHealth Condition 3: C508- Malignant neoplasm of overlappingsites of breast
- Registration Number
- CTRI/2022/11/047369
- Lead Sponsor
- Ashwini Amin
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ot Yet Recruiting
- Sex
- Not specified
- Target Recruitment
- 0
Inclusion Criteria
1. Patients who undergo bilateral mammography
2. Consenting individuals
3. Patients undergoing FNAC, biopsy or surgical excision for confirmation
Exclusion Criteria
1. Patients below 18 years and above 99 years
2. Male Patients
3. Patients who have undergone only unilateral mammography
4. Patients who do not have cytological or histopathological confirmation of diagnosis
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Positive identification of malignant and benign lesions in the mammogram using deep learning modelTimepoint: 30 days
- Secondary Outcome Measures
Name Time Method Identification of ideal parameters to incorporate into the CAD designTimepoint: 30 days