Abstract: Breast cancer is the most common ailment among women. Breast cancer cases are growing and rising on a regular basis. An automation system using an AI algorithm is presented to assist the radiologist in the task of evaluating the digital mammography image to discover anomalies associated to breast cancer. Mammogram images are low contrast, however early detection can be aided by improving the medical visual quality of the image with the use of a trained CNN template. Furthermore, a user-friendly Mat-lab-based graphical user interface (GUI) is developed, enabling radiologists to save patient data and produce images for subsequent use on their PCs.
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1 | 202441084398-COMPLETE SPECIFICATION [05-11-2024(online)].pdf | 2024-11-05 |
2 | 202441084398-DECLARATION OF INVENTORSHIP (FORM 5) [05-11-2024(online)].pdf | 2024-11-05 |
3 | 202441084398-DRAWINGS [05-11-2024(online)].pdf | 2024-11-05 |
4 | 202441084398-EDUCATIONAL INSTITUTION(S) [05-11-2024(online)].pdf | 2024-11-05 |
5 | 202441084398-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [05-11-2024(online)].pdf | 2024-11-05 |
6 | 202441084398-FORM 1 [05-11-2024(online)].pdf | 2024-11-05 |
7 | 202441084398-FORM FOR SMALL ENTITY(FORM-28) [05-11-2024(online)].pdf | 2024-11-05 |
8 | 202441084398-FORM-9 [05-11-2024(online)].pdf | 2024-11-05 |
9 | 202441084398-REQUEST FOR EARLY PUBLICATION(FORM-9) [05-11-2024(online)].pdf | 2024-11-05 |
10 | 202441084398-STATEMENT OF UNDERTAKING (FORM 3) [05-11-2024(online)].pdf | 2024-11-05 |