Hematology

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

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Cancer-Myth: Evaluating AI Chatbot on Patient Questions with False Presuppositions

Cancer patients are increasingly turning to large language models (LLMs) as a new form of internet...

Digital Staining with Knowledge Distillation: A Unified Framework for Unpaired and Paired-But-Misaligned Data

Staining is essential in cell imaging and medical diagnostics but poses significant challenges, in...

Extracting Regions of Interest and Selective Feature Application in Leukaemia Image Classification.

Evaluating the blood smear test images remains the main route of detecting the type of leukaemia, ac...

Apr 2025 40200455
Improving Chronic Kidney Disease Detection Efficiency: Fine Tuned CatBoost and Nature-Inspired Algorithms with Explainable AI

Chronic Kidney Disease (CKD) is a major global health issue which is affecting million people arou...

Leveraging Sparse Annotations for Leukemia Diagnosis on the Large Leukemia Dataset

Leukemia is 10th most frequently diagnosed cancer and one of the leading causes of cancer related ...

Multi-Task Learning for Extracting Menstrual Characteristics from Clinical Notes

Menstrual health is a critical yet often overlooked aspect of women's healthcare. Despite its clin...

Deep Learning-Based Quantitative Assessment of Renal Chronicity Indices in Lupus Nephritis

Background: Renal chronicity indices (CI) have been identified as strong predictors of long-term o...

3D Convolutional Neural Networks for Improved Detection of Intracranial bleeding in CT Imaging

Background: Intracranial bleeding (IB) is a life-threatening condition caused by traumatic brain i...

Deep Learning Approaches for Blood Disease Diagnosis Across Hematopoietic Lineages

We present a foundation modeling framework that leverages deep learning to uncover latent genetic ...

Domain-incremental White Blood Cell Classification with Privacy-aware Continual Learning

White blood cell (WBC) classification plays a vital role in hematology for diagnosing various medi...

Exploring Few-Shot Object Detection on Blood Smear Images: A Case Study of Leukocytes and Schistocytes

The detection of blood disorders often hinges upon the quantification of specific blood cell types...

Limb-Aware Virtual Try-On Network with Progressive Clothing Warping

Image-based virtual try-on aims to transfer an in-shop clothing image to a person image. Most exis...

AI-Driven Rapid Identification of Bacterial and Fungal Pathogens in Blood Smears of Septic Patients

Sepsis is a life-threatening condition which requires rapid diagnosis and treatment. Traditional m...

Progressive Limb-Aware Virtual Try-On

Existing image-based virtual try-on methods directly transfer specific clothing to a human image w...

Exploiting Concavity Information in Gaussian Process Contextual Bandit Optimization

The contextual bandit framework is widely used to solve sequential optimization problems where the...

Big data analytics and machine learning in hematology: Transformative insights, applications and challenges.

The integration of big data analytics and machine learning (ML) into hematology has ushered in a new...

Mar 2025 40068020
BPQA Dataset: Evaluating How Well Language Models Leverage Blood Pressures to Answer Biomedical Questions

Clinical measurements such as blood pressures and respiration rates are critical in diagnosing and...

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