Results 41 to 50 of about 137,983 (312)

A Novel Hybrid Image Segmentation Method for Detection of Suspicious Regions in Mammograms Based on Adaptive Multi-Thresholding (HCOW)

open access: yesIEEE Access, 2021
Suspicious region segmentation is one of the most important parts of CAD systems that are used for breast cancer detection in mammograms. In a CAD system, there can be so many suspicious regions determined for a mammogram because of the complex structure
Guliz Toz, Pakize Erdogmus
doaj   +1 more source

Optimization Methods for Image Thresholding: A review [PDF]

open access: yes, 2023
Setting a border with the proper gray level in processing images to separate objects from their backgrounds is crucial. One of the simplest and most popular methods of segmenting pictures is histogram-based thresholding.
Azmi Hussein Alrawi   +2 more
core   +2 more sources

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo   +9 more
wiley   +1 more source

Flood Detection with SAR: A Review of Techniques and Datasets

open access: yesRemote Sensing
Floods are among the most severe and impacting natural disasters. Their occurrence rate and intensity have been significantly increasing worldwide in the last years due to climate change and urbanization, bringing unprecedented effects on human lives and
Donato Amitrano   +3 more
doaj   +1 more source

Improved Degraded Document Image Binarization Using Median Filter for Background Estimation

open access: yesElektronika ir Elektrotechnika, 2018
In this paper, we propose a new binarization method suitable for images having a variety of sizes and degradation levels. It is mainly based on the idea of estimating a document background surface by new smoothing approach through a median filter and ...
Mehdi Khitas   +2 more
doaj   +1 more source

Optic disc localization using interference map and localized segmentation using grab cut

open access: yesAutomatika, 2021
Many eye diseases such as Diabetic Retinopathy, Cataract, Glaucoma have their symptoms shown in the retina. To detect such diseases, the normal and abnormal retina should be differentiated.
Pratik Joshi   +5 more
doaj   +1 more source

Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz   +12 more
wiley   +1 more source

Image Bi-Level Thresholding Based on Gray Level-Local Variance Histogram

open access: yesEntropy, 2017
Thresholding is a popular method of image segmentation. Many thresholding methods utilize only the gray level information of pixels in the image, which may lead to poor segmentation performance because the spatial correlation information between pixels ...
Xiulian Zheng, Hong Ye, Yinggan Tang
doaj   +1 more source

FADIT: Fast Document Image Thresholding

open access: yesAlgorithms, 2020
We propose a fast document image thresholding method (FADIT) and evaluations of the two classic methods for demonstrating the effectiveness of FADIT. We put forward two assumptions: (1) the probability of the occurrence of grayscale text and background ...
Yufang Min, Yaonan Zhang
doaj   +1 more source

Design of a medical decision-supporting system for the identification of brain tumors using entropy-based thresholding and non-local texture features

open access: yesFrontiers in Human Neuroscience, 2023
IntroductionBrain tumors arise due to abnormal growth of cells at any brain location with uneven boundaries and shapes. Usually, they proliferate rapidly, and their size increases by approximately 1.4% a day, resulting in invisible illness and ...
K. Rasool Reddy   +3 more
doaj   +1 more source

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