arXiv Machine Learning By Igor Zingman, Shada Abuhattum, Sara Kaliman, Maximilian Schl\"ogel, Paul M\"uller, Mark\'eta Kub\'ankov\'a, Nadine Str\"ohlein, Manuela Hauke, Lena Schn\"orer, Martin Kr\"ater, Jochen Guck

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

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arXiv Machine Learning
Aug 17

CytoBERT: A Foundation Model for Cytometry Data

arXiv:2608. 14414v1 Announce Type: new Abstract: Cytometry measures the complex characteristics of single cells (e.

By Syed Abdul Haseeb Qadri, Bjarne C. Hiller, Felix Blanke, Vanja Sophie Cangalovic, Kutalm{\i}\c{s} Co\c{s}kun, Amin Mirzaei, Tom Siegl, Sebastian Bader, Thomas Kirste, Martin Becker
arXiv Machine Learning
Aug 12

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets

arXiv:2608. 10657v1 Announce Type: cross Abstract: Leukemia cell image classification is challenged by real-world domain shifts from acquisition, staining, illumination, and site protocols, causing single-dataset models to generalize poorly in real clinical scenarios.

By Carlos Zamora, Hiram Zuniga, Ulises Orozco-Rosas, Kenia Picos
arXiv Machine Learning
Jun 19

Computational Methods and Challenges in Cell-Free DNA Analysis for Multi-Cancer Early Detection

arXiv:2606. 20174v1 Announce Type: new Abstract: Cell-free DNA (cfDNA) is a promising avenue for non-invasive multicancer early detection (MCED), in that, it can enable multiple cancer detection simultaneously from a single blood draw, with particular sensitivity to cancers that currently lack established screening programs.

By Nicko Starkey, Marcin W. Wojewodzic, Krzysztof Rzecki
arXiv Machine Learning
Jul 7

LeukocyteCount: Automatic Identification and Counting for leukocytes using Deep Learning

arXiv:2607. 04486v1 Announce Type: new Abstract: Diagnosing and monitoring diseases frequently involves the analysis of human biological samples, with blood analysis being pivotal.

By Ahmed M. Sayed (Faculty of Computers and Artificial Intelligence, Helwan University, Cairo, Egypt), Sondos A. Refaat (Faculty of Computers and Artificial Intelligence, Helwan University, Cairo, Egypt), Abdallah M. Mostafa (Faculty of Computers and Artificial Intelligence, Helwan University, Cairo, Egypt), Mariam S. El-Rahmany (Faculty of Computers and Artificial Intelligence, Helwan University, Cairo, Egypt), Ensaf Hussein Mohamed (Faculty of Computers and Artificial Intelligence, Helwan University, Cairo, Egypt, School of Information Technology and Computer Science)