White Blood Cell Classification

Latest papers

11 papers0 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

Multi-label versus multi-class classification of blood cells and their aggregates in microfluidic channels
Sep 7, 2026Igor Zingman, Shada Abuhattum, Sara Kaliman +8Multi-Label Classification Multiclass Classification
Max Planck Institute for the Science of Light, Erlangen, Germany · Max-Planck-Zentrum für Physik und Medizin · Friedrich-Alexander Universiät Erlangen-Nürnberg, Erlangen, Germany
Can You Trust Frozen Hematology Foundation Models under Acquisition Shift?
Aug 25, 2026Jai Kumar Sharma, Peeyush TapadiyaWhite Blood Cell Classification Medical Imaging Foundation Models
Virginia Tech · Accenture
LeukocyteCount: Automatic Identification and Counting for leukocytes using Deep Learning
Jul 5, 2026Ahmed M. Sayed, Sondos A. Refaat, Abdallah M. Mostafa +2Object Counting White Blood Cell Classification
Faculty of Computers and Artificial Intelligence, Helwan University, Cairo, Egypt · 2Computer Science Department, Faculty of Computers and Artificial Intelligence, Helwan University, Cairo, Egypt. · School of Information Technology and Computer Science +1
Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks
May 22, 2026Guilherme Cruz, Nouhaila Innan, Alberto Marchisio +2Hybrid Quantum-Classical ML Medical Image Classification
Instituto de Telecomunicac¸˜oes, University of Coimbra, Portugal · eBrain Lab, Division of Engineering, New York University Abu Dhabi, PO Box 129188, Abu Dhabi, UAE · Center for Quantum and Topological Systems, NYUAD Research Institute, New York University Abu Dhabi, UAE +1
Towards Label-Free Single-Cell Phenotyping Using Multi-Task Learning
May 14, 2026Saqib Nazir, Ardhendu BeheraMulti-Task Learning White Blood Cell Classification
Department of Computer Science, Edge Hill University, UK
A Hierarchical Ensemble Inference Pipeline for Robust White Blood Cell Classification Under Domain Shifts
Apr 25, 2026Ruyi Dai, Tingkwong Ng, Hao ChenHierarchical Classification Ensemble Learning
Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China · Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China · Division of Life Science, Hong Kong University of Science and Technology, Hong Kong, China +2
WBCBench 2026: A Challenge for Robust White Blood Cell Classification Under Class Imbalance
Apr 12, 2026Xin Tian, Xudong Ma, Tianqi Yang +4White Blood Cell Classification Medical Image Classification
University of Oxford, Oxford, United Kingdom · University College London, London, United Kingdom · University of Bristol, Bristol, United Kingdom +1
Ensemble of Small Classifiers For Imbalanced White Blood Cell Classification
Mar 21, 2026Siddharth Srivastava, Adam Smith, Scott Brooks +2White Blood Cell Classification Medical Image Classification
Department of Computer Science, University of Warwick · Warwick Medical School, University of Warwick · Intelligent Imaging Innovations Ltd
Multi-Stage Fine-Tuning of Pathology Foundation Models with Head-Diverse Ensembling for White Blood Cell Classification
Mar 20, 2026Antony Gitau, Martin Paulson, Bjørn-Jostein Singstad +3White Blood Cell Classification Fine-Grained Image Classification
University of South-Eastern Norway · Vestfold Hospital Trust
Synergizing Deep Learning and Biological Heuristics for Extreme Long-Tail White Blood Cell Classification
Mar 17, 2026Duc T. Nguyen, Hoang-Long Nguyen, Huy-Hieu PhamWhite Blood Cell Classification Medical Image Classification
College of Engineering & Computer Science, VinUniversity, Hanoi, Vietnam · VinUni-Illinois Smart Health Center, VinUniversity, Hanoi, Vietnam · The Computer Vision and Medical AI Lab, VinUniversity, Hanoi, Vietnam
Robust White Blood Cell Classification with Stain-Normalized Decoupled Learning and Ensembling
Mar 2, 2026Luu Le, Hoang-Loc Cao, Ha-Hieu Pham +2White Blood Cell Classification Medical Image Classification
University of Technology, Ho Chi Minh City, Vietnam · Vietnam National University, Ho Chi Minh City, Vietnam · University of Science, Ho Chi Minh City, Vietnam +2

Sep 7, 2026J/K move · Enter open · S save

Multi-label versus multi-class classification of blood cells and their aggregates in microfluidic channels

Igor Zingman, Shada Abuhattum, Sara Kaliman, Maximilian Schlögel+7

Max Planck Institute for the Science of Light, Erlangen, Germany · Max-Planck-Zentrum für Physik und Medizin · Friedrich-Alexander Universiät Erlangen-Nürnberg, Erlangen, Germany

Multi-Label Classification Multiclass Classification White Blood Cell Classification

Open paper AskPDF arXiv

Deformability cytometry (DC) is a type of imaging flow cytometry, which uses a camera-equipped device to measure cellular stiffness in addition to other cellular properties at high throughput. Cellular properties such as area and elongation can identify cell types, but this requires prior knowledge of distinguishing properties and cannot be applied to clinically important cell aggregates. Using DC data, we evaluated conventional multi-class (MC) classification and introduced a multi-label (ML) approach for identifying blood cells and their aggregates. In particular, an ML classifier can simultaneously assign multiple cell-type labels to a single imaged event. We show that, unlike MC classification, ML classification can identify cell aggregates not represented in the training data. It also avoids the need for exhaustive, strictly defined aggregate labels, thereby simplifying and speeding up annotation. Since automated blood analyzers do not reliably analyze cell aggregates, our approach may help address this clinical gap.