Artificial intelligence and mapping a new direction in laboratory medicine: a review
Background Modern artificial intelligence (AI) and machine learning (ML) methods are now
capable of completing tasks with performance characteristics that are comparable to those of …
capable of completing tasks with performance characteristics that are comparable to those of …
Applications of artificial intelligence in urinalysis: Is the future already here?
S De Bruyne, P De Kesel, M Oyaert - Clinical chemistry, 2023 - academic.oup.com
Background Artificial intelligence (AI) has emerged as a promising and transformative tool in
the field of urinalysis, offering substantial potential for advancements in disease diagnosis …
the field of urinalysis, offering substantial potential for advancements in disease diagnosis …
Deep learning approach to peripheral leukocyte recognition
Q Wang, S Bi, M Sun, Y Wang, D Wang, S Yang - PloS one, 2019 - journals.plos.org
Microscopic examination of peripheral blood plays an important role in the field of diagnosis
and control of major diseases. Peripheral leukocyte recognition by manual requires medical …
and control of major diseases. Peripheral leukocyte recognition by manual requires medical …
Improved classification of white blood cells with the generative adversarial network and deep convolutional neural network
K Almezhghwi, S Serte - Computational Intelligence and …, 2020 - Wiley Online Library
White blood cells (leukocytes) are a very important component of the blood that forms the
immune system, which is responsible for fighting foreign elements. The five types of white …
immune system, which is responsible for fighting foreign elements. The five types of white …
A novel automation-assisted cervical cancer reading method based on convolutional neural network
Y Xiang, W Sun, C Pan, M Yan, Z Yin… - Biocybernetics and …, 2020 - Elsevier
While automation-assisted reading system can improve efficiency, their performance often
relies on the success of accurate cell segmentation and hand-craft feature extraction. This …
relies on the success of accurate cell segmentation and hand-craft feature extraction. This …
Recent evolutions of machine learning applications in clinical laboratory medicine
S De Bruyne, MM Speeckaert… - Critical Reviews in …, 2021 - Taylor & Francis
Abstract Machine learning (ML) is gaining increased interest in clinical laboratory medicine,
mainly triggered by the decreased cost of generating and storing data using laboratory …
mainly triggered by the decreased cost of generating and storing data using laboratory …
Automatic classification of particles in the urine sediment test with the developed artificial intelligence-based hybrid model
Urine sediment examination is one of the main tests used in the diagnosis of many diseases.
Thanks to this test, many diseases can be detected in advance. Examining the results of this …
Thanks to this test, many diseases can be detected in advance. Examining the results of this …
Comparison detector for cervical cell/clumps detection in the limited data scenario
Automated detection of cervical cancer cells/clumps has the potential to significantly reduce
error rate and increase productivity in cervical cancer screening. However, most traditional …
error rate and increase productivity in cervical cancer screening. However, most traditional …
Automated urine cell image classification model using chaotic mixer deep feature extraction
Microscopic examination of urinary sediments is a common laboratory procedure.
Automated image-based classification of urinary sediments can reduce analysis time and …
Automated image-based classification of urinary sediments can reduce analysis time and …
Deep learning classification of urinary sediment crystals with optimal parameter tuning
The examination of urinary sediment crystals, the sedimentary components of urine, is useful
in screening tests, and is always performed in medical examinations. The examination of …
in screening tests, and is always performed in medical examinations. The examination of …