Sweta Banerjee
I am a Research Assistant at Flensburg University of Applied Sciences (HS-Flensburg), with a Master’s degree in Mathematics and Computing from Banaras Hindu University, India. At HS-Flensburg, I contribute to the MUROMI project, which focuses on robust and accurate detection of mitosis across multiple tumors, species, laboratories, and scanners. My research interests include self-supervised learning, domain adaptation, and multi-modal approaches in histopathology, with an emphasis on advancing AI-driven methods for medical image analysis.
Publications:
2025
Histologic Dataset of Normal and Atypical Mitotic Figures on Human Breast Cancer (AMi-Br) Book Section
In: Palm, Christoph; Breininger, Katharina; Deserno, Thomas; Handels, Heinz; Maier, Andreas; Maier-Hein, Klaus H.; Tolxdorff, Thomas M. (Ed.): Bildverarbeitung für die Medizin 2025, pp. 113–118, Springer Fachmedien Wiesbaden, Wiesbaden, 2025, ISBN: 9783658474218 9783658474225.
Comprehensive Dataset of Coarse Tumor Annotations for The Cancer Genome Atlas Breast Invasive Carcinoma Book Section
In: Palm, Christoph; Breininger, Katharina; Deserno, Thomas; Handels, Heinz; Maier, Andreas; Maier-Hein, Klaus H.; Tolxdorff, Thomas M. (Ed.): Bildverarbeitung für die Medizin 2025, pp. 260–265, Springer Fachmedien Wiesbaden, Wiesbaden, 2025, ISBN: 9783658474218 9783658474225.