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:
2026
Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation Journal Article
In: Machine Learning for Biomedical Imaging, no. MELBA–BVM 2025 Special Issue, pp. 115–125, 2026.
Enabling Fast and Mobile Histopathology Image Annotation through Swipeable Interfaces SWAN Book Section
In: Handels, Heinz; Breininger, Katharina; Deserno, Thomas; Maier, Andreas; Maier-Hein, Klaus; Palm, Christoph; Tolxdorff, Thomas (Ed.): Bildverarbeitung für die Medizin 2026, pp. 203–209, Springer Fachmedien Wiesbaden, Wiesbaden, 2026, ISBN: 978-3-658-51099-2 978-3-658-51100-5, (Series Title: Informatik aktuell).
Filtering Scheme for Confocal Laser Endomicroscopy (CLE)-video Sequences for Self-supervised Learning Book Section
In: Handels, Heinz; Breininger, Katharina; Deserno, Thomas; Maier, Andreas; Maier-Hein, Klaus; Palm, Christoph; Tolxdorff, Thomas (Ed.): Bildverarbeitung für die Medizin 2026, pp. 375–380, Springer Fachmedien Wiesbaden, Wiesbaden, 2026, ISBN: 978-3-658-51099-2 978-3-658-51100-5, (Series Title: Informatik aktuell).
2025
Mitosis Domain Generalization Challenge 2025 Proceedings Article
In: Zenodo, 2025.
Chromosome Mask-Conditioned Generative Inpainting for Atypical Mitosis Classification Proceedings Article
In: MICCAI Workshop on Computational Pathology with Multimodal Data (COMPAYL), 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: 978-3-658-47421-8 978-3-658-47422-5.
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: 978-3-658-47421-8 978-3-658-47422-5.