AI-based image classification algorithms for Leukaemia diagnostics and hematologic cytomorphology: From single cells to molecular features

This article examines the transformative impact of digitalisation in pathology by exploring the challenges of integrating digital processes within laboratories. It emphasises the importance of detailed planning, structured data capture, and interdisciplinary collaboration – including the strategic use of artificial intelligence – to navigate and overcome complex barriers.

Authors

Publication Details

Journal
Trillium Pathology
Published
2025-06-02
DOI
https://doi.org/10.47184/tp.2025.01.01
Primary Topic
Digital Imaging for Blood Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-based image classification algorithms for Leukaemia diagnostics and hematologic cytomorphology: From single cells to molecular features

Julius Balkenhol, Greta Gesang, Sören Wierzba
Trillium Pathology
Digital Imaging for Blood Diseases
article

AI-based image classification algorithms for Leukaemia diagnostics and hematologic cytomorphology: From single cells to molecular features

Julius Balkenhol, Greta Gesang, Sören Wierzba
article en

Abstract

This article examines the transformative impact of digitalisation in pathology by exploring the challenges of integrating digital processes within laboratories. It emphasises the importance of detailed planning, structured data capture, and interdisciplinary collaboration – including the strategic use of artificial intelligence – to navigate and overcome complex barriers.

Trillium PathologyVol. 4(1)
Zero hunger
Openalex Percentile: Top 89%
Digital Imaging for Blood Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

AI-based image classification algorithms for Leukaemia diagnostics and hematologic cytomorphology: From single cells to molecular features — Julius Balkenhol, Greta Gesang, et al. · Trillium Pathology (2025) | TGRS Research Map | TGRS