[HTML][HTML] Analysis of red blood cells from peripheral blood smear images for anemia detection: a methodological review
N KT, K Prasad, BMK Singh - Medical & biological engineering & …, 2022 - Springer
Anemia is a blood disorder which is caused due to inadequate red blood cells and
hemoglobin concentration. It occurs in all phases of life cycle but is more dominant in …
hemoglobin concentration. It occurs in all phases of life cycle but is more dominant in …
White blood cells image classification using deep learning with canonical correlation analysis
Abstract White Blood Cells play an important role in observing the health condition of an
individual. The opinion related to blood disease involves the identification and …
individual. The opinion related to blood disease involves the identification and …
[HTML][HTML] Combining microfluidics with machine learning algorithms for RBC classification in rare hereditary hemolytic anemia
V Rizzuto, A Mencattini, B Álvarez-González… - Scientific reports, 2021 - nature.com
Combining microfluidics technology with machine learning represents an innovative
approach to conduct massive quantitative cell behavior study and implement smart decision …
approach to conduct massive quantitative cell behavior study and implement smart decision …
[PDF][PDF] A YOLO and convolutional neural network for the detection and classification of leukocytes in leukemia
SM Abas, AM Abdulazeez… - Indonesian Journal of …, 2022 - researchgate.net
The developing of deep learning systems that used for chronic diseases diagnosing is
challenge. Furthermore, the localization and identification of objects like white blood cells …
challenge. Furthermore, the localization and identification of objects like white blood cells …
WBCs-Net: Type identification of white blood cells using convolutional neural network
On monitoring an individual's health condition, White Blood Cells play a significant role. The
opinion on blood-related disease requires the detection and description of the blood of a …
opinion on blood-related disease requires the detection and description of the blood of a …
A deep learning-based convolutional neural networks model for white blood cell classification
White blood cells, or leukocytes, are indispensable for the optimal functioning of the immune
system. They play a critical role in protecting the body against infections, diseases, and other …
system. They play a critical role in protecting the body against infections, diseases, and other …
Detection and Classification of Leukocytes in Leukemia using YOLOv2 with CNN
SM Abas, AM Abdulazeez - Asian Journal of Research in …, 2021 - journal.251news.co.in
The development of machine learning systems that used for diagnosis of chronic diseases is
challenging mainly due to lack of data and difficulty of diagnosing. This paper compared …
challenging mainly due to lack of data and difficulty of diagnosing. This paper compared …
[HTML][HTML] Deep learning-based image annotation for leukocyte segmentation and classification of blood cell morphology
The research focuses on the segmentation and classification of leukocytes, a crucial task in
medical image analysis for diagnosing various diseases. The leukocyte dataset comprises …
medical image analysis for diagnosing various diseases. The leukocyte dataset comprises …
Plastic Waste Classification Using CNN for Supporting 3R's Principle
Plastic isn't as simple as everyone assume. The world now produces more than 380 million
tons of plastic, half of this is utilized to make one-use items such as polythene bags, mugs …
tons of plastic, half of this is utilized to make one-use items such as polythene bags, mugs …
Development of abnormal red blood cells classifier using image processing techniques with support vector machine
In some studies conducted from the medical field, the abnormality in the morphological
structure of red blood cells is used as an indicator of blood related diseases and conditions …
structure of red blood cells is used as an indicator of blood related diseases and conditions …