Papers Blood Cell Count
“Blood Cell Count” 태그가 달린 논문 7편 · 필터 해제
ADA-YOLO: Dynamic Fusion of YOLOv8 and Adaptive Heads for Precise Image Detection and Diagnosis
Object detection and localization are crucial tasks for biomedical image analysis, particularly in the field of hematology where the detection and recognition of blood cells are essential for diagnosis and treatment deci…
Blood Cell CountEdge-computingMedical Object DetectionObject+2A Fully Unsupervised Instance Segmentation Technique for White Blood Cell Images
White blood cells, also known as leukocytes are group of heterogeneously nucleated cells which act as salient immune system cells. These are originated in the bone marrow and are found in blood, plasma, and lymph tissues…
Blood Cell CountInstance SegmentationSegmentationSemantic Segmentation+1Routine haematological markers can predict and discriminate health status and biological age even from noisy sources
For more than two decades, advances in personalised medicine and precision healthcare have largely been based on genomics and other omics data. These strategies aim to tailor interventions to individual patient profiles,…
Blood Cell CountCBC TESTNutritionSurveySemi-Blind and l1 Robust System Identification for Anemia Management
Chronic diseases such as cancer, diabetes, heart diseases, chronic kidney disease (CKD) require a drug management system that ensures a stable and robust output of the patient's condition in response to drug dosage. In t…
Blood Cell CountManagementAIDeveloper: deep learning image classification in life science and beyond
Publications on artificial intelligence (AI)-based image analysis have increased drastically in recent years. However, all applications use individual solutions highly specialized for a particular task. Here, we present …
Blood Cell CountClassificationCultural Vocal Bursts Intensity PredictionDeep Learning+3Machine learning approach of automatic identification and counting of blood cells
A complete blood cell count is an important test in medical diagnosis to evaluate overall health condition. Traditionally blood cells are counted manually using haemocytometer along with other laboratory equipment’s and …
BIG-bench Machine LearningBlood Cell CountBlood Cell DetectionCBC TEST+3Machine learning approach of automatic identification and counting of blood cells
A complete blood cell count is an important test in medical diagnosis to evaluate overall health condition. Traditionally blood cells are counted manually using haemocytometer along with other laboratory equipment's and …
BIG-bench Machine LearningBlood Cell CountBlood Cell DetectionMedical Diagnosis+2