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20242026
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cs.CV2026

Beyond Classification: Pathology Foundation Models as Detection Encoders for Mitotic Figures

Sweta Banerjee, Alireza Teimoury, Nils Porsche +11

The paper evaluates whether pathology foundation models can serve as effective backbones for dense detection of mitotic figures, comparing several self‑supervised models to a ResNe…

cs.CV2026

Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation

Sweta Banerjee, Viktoria Weiss, Taryn A. Donovan +9

Atypical mitosis marks a deviation in the cell division process that has been shown be an independent prognostic marker for tumor malignancy. However, atypical mitosis classificati…

cs.CV2026

Performance evaluation of deep learning models for image analysis: considerations for visual control and statistical metrics

Christof A. Bertram, Jonas Ammeling, Alexander Bartel +2

Deep learning-based automated image analysis (DL-AIA) has been shown to outperform trained pathologists in tasks related to feature quantification. Related to these capacities the…

cs.CV2026

Benchmarking Foundation Models for Mitotic Figure Classification

Jonas Ammeling, Jonathan Ganz, Emely Rosbach +4

The performance of deep learning models is known to scale with data quantity and diversity. In pathology, as in many other medical imaging domains, the availability of labeled imag…

cs.CV2025

Dataset creation for supervised deep learning-based analysis of microscopic images -- review of important considerations and recommendations

Christof A. Bertram, Viktoria Weiss, Jonas Ammeling +6

Supervised deep learning (DL) receives great interest for automated analysis of microscopic images with an increasing body of literature supporting its potential. The development a…

cs.CV2025

SWAN -- Enabling Fast and Mobile Histopathology Image Annotation through Swipeable Interfaces

Sweta Banerjee, Timo Gosch, Sara Hester +11

The annotation of large scale histopathology image datasets remains a major bottleneck in developing robust deep learning models for clinically relevant tasks, such as mitotic figu…