AIMC Topic: Leukocytes

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Dynamic kernel generation through hybrid involution and convolution neural networks for leukemia and white blood cell classification.

Scientific reports
Blood cancer diagnosis through microscopic image analysis is challenging due to subtle morphological differences between cell stages and subtypes. This study aims to develop a Hybrid Involutional-Convolutional Neural Network (HICNN) for automated leu...

Machine learning classification of inflammatory bowel disease activity using white blood cell subsets.

BMJ open gastroenterology
OBJECTIVE: The lack of a rapid, validated, consistent test for tracking disease activity in patients with inflammatory bowel disease (IBD) is currently a major challenge. Currently used biomarkers have notable disadvantages, such as the slow processi...

A Curated and Re-annotated Peripheral Blood Cell Dataset Integrating Four Public Resources.

Scientific data
We present TXL-PBC, a curated and re-annotated peripheral blood cell dataset constructed by integrating four publicly available resources: Blood Cell Count and Detection (BCCD), Blood Cell Detection Dataset (BCDD), Peripheral Blood Cells (PBC), and R...

Bone marrow immune remodeling in depression: TNF/NF-κB mediated leukocyte redistribution and construction of an interpretable predictive model.

International immunopharmacology
Environmental stress contributes to the development of depression through neuro-immune interactions, yet the underlying molecular mechanisms and associated clinical diagnostic biomarkers remain unclear. We established a psychosocial stress mouse mode...

Improved leukocyte classification in bone marrow cytology using convolutional neural network with contrast enhancement.

Scientific reports
Leukocytes or white blood cells (WBCs) are the main components of the immune system that protect the human body from various infections caused by viruses, bacteria, fungi, and other microorganisms. There are five major types of leukocytes: basophils,...

Machine learning based analysis of leucocyte cell population data by Sysmex XN series hematology analyzer for the diagnosis of bacteremia.

Scientific reports
In clinical practice, early recognition of bacteremia leads to prognostic improvement. Recently, cell population data (CPD) from the Sysmex XN-series hematology analyzer has attracted attention as a new method for the early diagnosis of bacteremia, b...

Explainable multimodal hematology analysis for white blood cell classification and attribute prediction.

Computers in biology and medicine
White blood cell (WBC) classification and morphological attribute prediction are critical for automated hematological analyses. To provide detailed and interpretable predictions, this paper proposes a multimodal visual-language embedding learning app...

Domain-incremental white blood cell classification with privacy-aware continual learning.

Scientific reports
White blood cell (WBC) classification plays a vital role in hematology for diagnosing various medical conditions. However, it faces significant challenges due to domain shifts caused by variations in sample sources (e.g., blood or bone marrow) and di...

Leukocyte analysis: Current status and future direction.

Clinica chimica acta; international journal of clinical chemistry
Leukocytes (white blood cells, WBCs) are a vital component of the human immune system, responsible for resisting foreign pathogens, repairing damaged tissues, and regulating immune responses. Abnormal changes in their number and function serve as cli...

Domain knowledge-infused pre-trained deep learning models for efficient white blood cell classification.

Scientific reports
White blood cell (WBC) classification is a crucial step in assessing a patient's health and validating medical treatment in the medical domain. Hence, efficient computer vision solutions to the classification of WBC will be an effective aid to medica...