Dibrugarh researcher gains global acclaim for work on AI-powered breast cancer detection system
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Dibrugarh: Dipti Deb, a research scholar from Chabua in Dibrugarh, is garnering international acclaim for her groundbreaking work in the application of Artificial Intelligence (AI) for early breast cancer detection.
Currently pursuing her PhD in the department of computer science and engineering at the National Institute of Technology (NIT) Rourkela, she is under the mentorship of Prof. Ratnakar Dash and Durga Prasad Mohapatra.
Dipti recently showcased her innovative research at the 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society held in Copenhagen, Denmark. Her paper, titled "BreastHistoNet: An Efficient Breast Cancer Histopathological Image Classification Using Multi-Scale Features and Channel Recalibration", presents a cutting-edge computer-aided diagnosis (CAD) system.
This system integrates mammogram, ultrasound, and histopathology images, providing a more accurate and timely detection of breast cancer.
The promising results from her tests indicate that the AI-driven approach could significantly enhance diagnostic capabilities in the healthcare sector, capturing the attention of attendees and experts alike.
The innovation has already garnered multiple accolades, including the Best Poster Award at the 13th International Conference on Soft Computing for Problem Solving (SocProS 2025) held at IIT Roorkee.
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Dibrugarh researcher gains global acclaim for work on AI-powered breast cancer detection system
1 2 3 4 Dibrugarh: Dipti Deb, a research scholar from Chabua in Dibrugarh, is garnering international acclaim for her groundbreaking work in the application of Artificial Intelligence (AI) for early breast cancer detection. Currently pursuing her PhD in the department of computer science and engineering at the National Institute of Technology (NIT) Rourkela, she is under the mentorship of Prof. Ratnakar Dash and Durga Prasad Mohapatra. Dipti recently showcased her innovative research at the 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society held in Copenhagen, Denmark. Her paper, titled "BreastHistoNet: An Efficient Breast Cancer Histopathological Image Classification Using Multi-Scale Features and Channel Recalibration", presents a cutting-edge computer-aided diagnosis (CAD) system. This system integrates mammogram, ultrasound, and histopathology images, providing a more accurate and timely detection of breast cancer. The promising results from her tests indicate that the AI-driven approach could significantly enhance diagnostic capabilities in the healthcare sector, capturing the attention of attendees and experts alike. The innovation has already garnered multiple accolades, including the Best Poster Award at the 13th International Conference on Soft Computing for Problem Solving (SocProS 2025) held at IIT Roorkee.
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