3 papers
cs.CV2026
Group Equivariant Diffusion for Anomaly Detection in Computational Cytology
Swarnadip Chatterjee, Ssharvien Kumar Sivakumar, Anirban Mukhopadhyay
Computational cytology on whole-slide images is challenging because malignant cells are rare, heterogeneous, and annotated slides are scarce. Anomaly detection frameworks can be tr…
cs.CV2026
Needle in a Haystack: One-Class Representation Learning for Detecting Rare Malignant Cells in Computational Cytology
Swarnadip Chatterjee, Vladimir Basic, Arrigo Capitanio +2
In computational cytology, detecting malignancy on whole-slide images is difficult because malignant cells are morphologically diverse yet vanishingly rare amid a vast background o…
cs.CV2025
SLAM-AGS: Slide-Label Aware Multi-Task Pretraining Using Adaptive Gradient Surgery in Computational Cytology
Marco Acerbis, Swarnadip Chatterjee, Christophe Avenel +1
Computational cytology faces two major challenges: i) instance-level labels are unreliable and prohibitively costly to obtain, ii) witness rates are extremely low. We propose SLAM-…