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Image Intelligence (Sweden)

Sweden

4 papers here10 citations across 4
fields
  • cs.CV3
  • cs.IT1
ROR 04v4hfj66OpenAlex

affiliations via OpenAlex

output
20192025
most citedWhole slide image registration for the study of tumor heterogeneity

10 citations

researchers with a paper here
  • Joakim Lindblad2 · h 5
  • Marco Acerbis2 · h 0
  • A. Behanova1 · h 9
  • Axel Andersson1 · h 5
  • B. Mesquita1 · h 12
  • Carla Oliveira1 · h 18
  • Carolina Wählby1 · h 33
  • C. Avenel1 · h 10
  • C. Wählby1 · h 8
  • D. Martins1 · h 14
  • Filip Malmberg1 · h 2
  • G. Almeida1 · h 26
collaborating institutions
  • Uppsala UniversitySE3 papers
  • i3S - Instituto de Investigação e Inovação em Saúde, Universidade do PortoPT1 paper
  • Science for Life LaboratorySE1 paper
  • Universidade do PortoPT1 paper
Showing 2025Show all

2 papers · 1 filter

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-…

cs.CV2025

A Comparison of Deep Learning Methods for Cell Detection in Digital Cytology

Marco Acerbis, Nataša Sladoje, Joakim Lindblad

Accurate and efficient cell detection is crucial in many biomedical image analysis tasks. We evaluate the performance of several Deep Learning (DL) methods for cell detection in Pa…

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