Hematology

Latest AI and machine learning research in hematology for healthcare professionals.

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A Method for Expanding the Training Set of White Blood Cell Images.

In medicine, the count of different types of white blood cells can be used as the basis for diagnosi...

Deep learning to estimate durable clinical benefit and prognosis from patients with non-small cell lung cancer treated with PD-1/PD-L1 blockade.

Different biomarkers based on genomics variants have been used to predict the response of patients t...

Deep learning application of the discrimination of bone marrow aspiration cells in patients with myelodysplastic syndromes.

Myelodysplastic syndromes (MDS) are a group of hematologic neoplasms accompanied by dysplasia of the...

MC-UNet: Multimodule Concatenation Based on U-Shape Network for Retinal Blood Vessels Segmentation.

Accurate retinal blood vessels segmentation is an important step in the clinical diagnosis of ophtha...

Multiplexed high-throughput immune cell imaging reveals molecular health-associated phenotypes.

Phenotypic plasticity is essential to the immune system, yet the factors that shape it are not fully...

A routine de-airing method for total endoscopic robot-assisted mitral valve repair.

Intraoperative water testing is essential for assessing mitral valve morphology and degree of residu...

Classification of peripheral blood neutrophils using deep learning.

Deep learning has been used to classify the while blood cells in peripheral blood smears. However, t...

Long-term comparative outcome analysis of a robot-assisted laparoscopic prostatectomy with retropubic radical prostatectomy by a single surgeon.

We aimed to report a comprehensive outcome analysis of robot-assisted laparoscopic prostatectomies (...

Methodologies and Emerging Technologies for the Evaluation of the Hematopoietic System.

Hematology and bone marrow analysis is central to our understanding of the hematopoietic system and ...

Oral epithelial cell segmentation from fluorescent multichannel cytology images using deep learning.

BACKGROUND AND OBJECTIVES: Cytology is a proven, minimally-invasive cancer screening and surveillanc...

Data augmentation with improved regularisation and sampling for imbalanced blood cell image classification.

Due to progression in cell-cycle or duration of storage, classification of morphological changes in ...

Perioperative Red Cell Line Trend following Robot-Assisted Radical Prostatectomy for Prostate Cancer.

Background and Objective: Blood loss represents a long-standing concern of radical prostatectomy (RP...

Deep learning-based prediction of coronary artery stenosis resistance.

Coronary artery stenosis resistance (SR) is a key factor for noninvasive calculations of fractional ...

Do you need sharpened details? Asking MMDC-Net: Multi-layer multi-scale dilated convolution network for retinal vessel segmentation.

Convolutional neural networks (CNN), especially numerous U-shaped models, have achieved great progre...

Analysis of Characteristic Factors of Nursing Safety Incidents in ENT Surgery by Deep Learning-Based Medical Data Association Rules Method.

It is of great significance to explore the characteristic factors of postoperative nursing safety ev...

Longitudinal deep learning clustering of Type 2 Diabetes Mellitus trajectories using routinely collected health records.

Type 2 diabetes mellitus (T2DM) is a highly heterogeneous chronic disease with different pathophysio...

Artificial intelligence in hematological diagnostics: Game changer or gadget?

The future of clinical diagnosis and treatment of hematologic diseases will inevitably involve the i...

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