output
20132026
most citedMitosis domain generalization in histopathology images -- The MIDOG challenge

162 citations

Showing 2025 · cs.CVShow all

5 papers · 2 filters

cs.CV2025

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

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.CV2025★ 4 cited

Systematic Literature Review on Vehicular Collaborative Perception -- A Computer Vision Perspective

Lei Wan, Jianxin Zhao, Andreas Wiedholz +7

The effectiveness of autonomous vehicles relies on reliable perception capabilities. Despite significant advancements in artificial intelligence and sensor fusion technologies, cur…

cs.CV2025

A Light Perspective for 3D Object Detection

Marcelo Eduardo Pederiva, José Mario De Martino, Alessandro Zimmer

Comprehending the environment and accurately detecting objects in 3D space are essential for advancing autonomous vehicle technologies. Integrating Camera and LIDAR data has emerge…

cs.CV2025★ 12 cited

Histologic Dataset of Normal and Atypical Mitotic Figures on Human Breast Cancer (AMi-Br)

Christof A. Bertram, Viktoria Weiss, Taryn A. Donovan +6

Assessment of the density of mitotic figures (MFs) in histologic tumor sections is an important prognostic marker for many tumor types, including breast cancer. Recently, it has be…