Early detection and precise diagnosis of breast cancer (BC) plays an essential part in enhancing the improving survival rate patients from 30 to 50%. Through advances technology healthcare, deep learning takes a significant role handling inspecting great number X-ray, MRI, CTR images. The aim this study is propose model (BCCNN) detect classify cancers into eight classes: benign adenosis (BA), fibroadenoma (BF), phyllodes tumor (BPT), tubular adenoma (BTA), malignant ductal carcinoma (MDC),...

In this paper an Artificial Neural Network (ANN) model, for predicting the performance of a sophomore student enrolled in engineering majors Faculty Engineering and Information Technology Al-Azhar University Gaza was developed tested.A number factors that may possibly influence were outlined.Such as high school score, score subject such Math I, II, Electrical Circuit Electronics I taken during freshman year, credits passed, cumulative grade point average types attended gender, among others,...

Breast Cancer (BC) is one of the leading cause deaths worldwide. Approximately 10 million people pass away internationally from breast cancer in year 2020. a fatal disease and very popular among women globally. It ranked fourth diseases different cancers, for example colorectal cancer, cervical brain tumors. Furthermore, number new cases anticipated to upsurge by 70% next twenty years. Consequently, early detection precise diagnosis plays an essential part enhancing improving survival rate...

In this paper, a prototype of Decision Support System (DSS) is proposed for providing the knowledge optimizing newly adopted e-learning education strategy in educational institutions.If an institution as new strategy, it should undertake preliminary evaluation to determine percentage success and areas weakness strategy.If done manually, would not be easy task do provide about all pitfall symptoms.The DSS based on exploration (mining) from large amounts data yielded operating its...

Hair occlusion in dermoscopy images affects the diagnostic operation of skin lesion. Segmentation and classification lesions are two major steps required by dermatologists. We propose a new algorithm for hair removal that includes main stages: detection inpainting. In detection, morphological bottom-hat is implemented on Y-channel image YIQ color space followed binarization operation. inpainting, repaired partitioned into 256 non-overlapped blocks each block, white pixels replaced locating...

In this paper, we propose simple classifiers for printed Arabic characters based on statistical analysis. 109 character images are created each one of transparent, simplified and traditional fonts. Images preprocessed by the binarization followed sequence morphological operations. A non-linear filter is applied thinned ridge map to extract termination bifurcation features. The vectors (TRMVs) using a freeman chain code template. spatial distribution properties extracted features calculated.

Purpose The face recognition problem has a long history and significant practical perspective one of the applications theory pattern recognition, to automatically localize in image and, if necessary, identify person face. Interests procedures underlying process localization individual’s are quite connection with variety their application such areas as security systems, verification, forensic expertise, teleconferences, computer games, etc. This paper aims recognize facial images efficiently....

A simple method based on some statistical measurements for Latin handwritten digit recognition is proposed in this paper. Firstly, a preprocess step started with thresholding the gray-scale image into binary image, and then noise removal, spurring thinning are performed. Secondly, by reducing search space, region-of-interest (ROI) cropped from preprocessed freeman chain code template applied five feature sets extracted each image. Counting number of termination points, their coordinates...

In this paper we have used a simple and efficient color-based approach to segment human skin pixels from background, using 2D histogram-based as preprocess stage for face detection. For segmentation, total of 446,007 samples the training set is manually cropped RGB color images, calculate three lookup tables based on relationship between each pair triple components (R, G, B). Derivation classifier rules are how often attribute value (interval) occurs, their associated certainty values....

Extraordinary work has been placed into the advancement of finding strategies for most perilous kind skin diseases - Melanoma. Melanoma, generally called malignant melanoma, is a sort growth that made from pigment-covering cells known as melanocytes. This paper reviews common diagnostic methods which are Menzies, 7-point checklist, CASH, ABCD, CHAOS, BLINCK, and TADA. These used to segment classify lesions benign or in dermoscopic images.

Using game in learning becomes one of the most successful approaches nowadays, due to its effectiveness learning.It is proved that students who learn from performed better than traditional style.Letters web for young over age student a 2D game, suitable with low skills (over students) English letters.It improves ability recognize letters' shapes, spelling, and writing an exciting way.The implemented using PHP, JavaScript, HTML, CSS Phaser library.