DCGAN-generated Synthetic Images Effect on White Blood Cell Classification
نویسندگان
چکیده
منابع مشابه
Uremia Effect on White Blood Cell Count in Patients with Renal Failure
Introduction: It is believed that uremia causes destruction of white blood cells (WBC) and thus causes leukopenia. Therefore this study had an attempt to assess the effect of uremia on WBC count. Materials and Methods: This case control study was conducted on 120 uremic patients and 100 samples as control group. All samples were examined for determination of urea and creatinine in their seru...
متن کاملOverlapping White Blood Cell Segmentation and Counting on Microscopic Blood Cell Images
Overlapping white blood cell identification on microscopic blood cell images is proposed for increasing the accuracy of white blood cell segmentation and counting. The accurate identification of overlapping cells can increase the accuracy of cell counting system for diagnosing diseases. The overlapping cells have different characteristic such as area and shape with a single cell of microscopic ...
متن کاملA Neural-Network-Based Approach to White Blood Cell Classification
This paper presents a new white blood cell classification system for the recognition of five types of white blood cells. We propose a new segmentation algorithm for the segmentation of white blood cells from smear images. The core idea of the proposed segmentation algorithm is to find a discriminating region of white blood cells on the HSI color space. Pixels with color lying in the discriminat...
متن کاملAutomatic White Blood Cell Differential Classification a Thesis in Mechatronics
The characteristics (quantity, shape and color) of the white blood cell (WBC) can give vital information about a patient’s health. Hematologists, with the aid of microscopes, use their experience to classify WBCs and make appropriate reporting and recommendations to physicians. Automating the segmentation and classification of WBC could provide a useful tool in medical diagnoses. In this work, ...
متن کاملAutomatic Classification of Natural and Synthetic Images
The classification of images based on semantic description is a challenging and important problem in automatic image retrieval. A binary classificator for natural and synthetic images has been developed. Single simple features are extracted from the raw images data in order to exploit the difference of color pattern and spatial correlation of pixels in natural and synthetic images. These featur...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IOP Conference Series: Materials Science and Engineering
سال: 2021
ISSN: 1757-8981,1757-899X
DOI: 10.1088/1757-899x/1077/1/012033