RETRACTED: Automatic Cytoplasm and Nucleus detection in the white blood cells depending on hisogram analysis

Abstract

Programmed identification of white platelets (WBCs) stays an uncertain issue in medicinal imaging. The first step in this algorithm is to detect a white blood cell (Lymphocyte) and then segments the Cytoplasm and Nucleus in this cell. This was done by using image processing Techniques. The suggested method depending on the binary conversion of red, blue and hue compounds depending on threshes values. These values were calculated from histogram analysis within specific ranges. The proposed algorithm was compared with several other algorithms for detection by using an accuracy scale in the detection. where the proposed algorithm obtained a high distinction accuracy reached 98% compared to other methods.

Lung computed tomography image enhancement using U‐Net segmentation

“…In the medical field, the majority of medical imaging, such as magnetic resonance imaging (MRI), X‐rays, ultrasound, computed tomography (CT) scans, and other bio‐medical images, is utilized for identifying the specific problem within the patient's body 3–5 . The quality of medical imaging, which has evolved into an essential part of modern medicine, directly impacts the accuracy of diagnoses and treatments administered by physicians 6,7 . The low resolution and contrast of medical images, which have made accurate diagnosis difficult 8,9 .…”

“…[3][4][5] The quality of medical imaging, which has evolved into an essential part of modern medicine, directly impacts the accuracy of diagnoses and treatments administered by physicians. 6,7 The low resolution and contrast of medical images, which have made accurate diagnosis difficult. 8,9 Therefore, improved medical images are needed to accurately and effectively depict the specifics of the disease.…”

MRI Image Enhancement Based Fuzzy C-Mean Segment and Modified Adapted Histogram Equalization

“…Image enhancement is one of the most important and popular processing steps in the digital image processing field [1,2] that reduces image noise, eliminates artifacts and preserves details [3]. Image enhancement processes specific image characteristics for analysis, diagnosis [4] and visual information with great clarity [5]. The processed image is more suitable than the original image for the purpose or required task [6].…”

Enhancement of Microscopy Images by Using a Hybrid Technique Based on Adaptive Histogram Equalisation and Fuzzy Logic

“…Image improvement is one of the branches of image processing it is involved in various application such as object detection [1], recognition [2], dehazing images [3], and medical optical microscopy images [4,5], which is a preliminary stage for distinction and detection [6,7]. Therefore, this study aims to improve the images captured through optical microscopy.…”