Leukemia segmentation and classification: A comprehensive survey
Blood is made up of leukocytes (WBCs), erythrocytes (RBCs), and thrombocytes. The ratio of
blood cancer diseases is increasing rapidly, among which leukemia is one of the famous …
blood cancer diseases is increasing rapidly, among which leukemia is one of the famous …
DeepLeukNet—A CNN based microscopy adaptation model for acute lymphoblastic leukemia classification
Abstract Acute Lymphoblastic Leukemia is one of the fatal types of disease which causes a
high mortality rate among children and adults. Traditional diagnosing of this disease is …
high mortality rate among children and adults. Traditional diagnosing of this disease is …
Detection of acute lymphoblastic leukemia using machine learning techniques
Automatic detection of acute lymphoblastic leukemia (ALL) is essential, as well as a
challenging job. Recently, machine learning and deep learning-based classification have …
challenging job. Recently, machine learning and deep learning-based classification have …
Blood Cancer Detection with Microscopic Images Using Machine Learning
K-means transformation, histogram equalization, linear contrast stretching, and share-based
features are all used to detect leukemia. A method for automatically classifying leukocytes …
features are all used to detect leukemia. A method for automatically classifying leukocytes …
[PDF][PDF] Bleeding recognition technique in wireless capsule endoscopy images using fuzzy logic and principal component analysis
Wireless capsule endoscopy is the most innovative technology to perceive the entire
gastrointestinal (GI) tract in recent times. It can diagnose inner diseases like bleeding, ulcer …
gastrointestinal (GI) tract in recent times. It can diagnose inner diseases like bleeding, ulcer …
[PDF][PDF] Small intestine bleeding detection using color threshold and morphological operation in WCE images
Wireless capsule endoscopy (WCE) is a significant modern technique for observing the
whole gastroenterological tract to diagnose various diseases like bleeding, ulcer, tumor …
whole gastroenterological tract to diagnose various diseases like bleeding, ulcer, tumor …
DAResNet Based on double-layer residual block for restoring industrial blurred images
W Zhang, Y Cao, R Zhang, W Zhang, Z Cui - Signal Processing: Image …, 2023 - Elsevier
Image acquisition and restoration have always been an indispensable part of industrial
production. Due to the harsh environment in which industrial cameras are used and …
production. Due to the harsh environment in which industrial cameras are used and …
Estimation model of wild fractional vegetation cover based on RGB vegetation index and its application
S Dai, J Zhou, X Ning, J Xu, H Wang - Open Geosciences, 2024 - degruyter.com
An accurate survey of field vegetation information facilitates the evaluation of ecosystems
and the improvement of remote sensing models. Extracting fractional vegetation cover (FVC) …
and the improvement of remote sensing models. Extracting fractional vegetation cover (FVC) …
Efficient Segmentation Techniques for the Automated Detection of Acute Lymphoblastic Leukemia (ALL) in Microscopic Images
Acute Lymphoblastic Leukemia (ALL), a significant hematologic malignancy impacting both
children and adults, demands accurate and efficient diagnostic approaches. Current …
children and adults, demands accurate and efficient diagnostic approaches. Current …
Generating realistic microscopy images of blood cells using Generative adversarial networks
R Berghuis - 2021 - oa.upm.es
Most haematologic diseases are still diagnosed manually using microscopic images of
blood. To diagnose these diseases the different blood cells on the microscopic images have …
blood. To diagnose these diseases the different blood cells on the microscopic images have …