This study aims to identify the condition of corn plants based on imagery leaf using gray level co-occurrence matrix (GLCM) method and artificial neural network (ANN) backpropagation. The GLCM is used for extracting features from image corn, whereas ANN backpropagation classification plant features. was done a dataset leaves with four conditions: healthy, spot, blight, rust. Next, are extracted...

Jerawat merupakan penyakit kulit yang mengakibatkan peradangan kronis biasanya terdapat di wajah, leher, dan lengan. Terdapat berbagai jenis jerawat yaitu blackhead, whitehead, papula, pustula, nodul cystic. Telah banyak upaya dilakukan untuk mengenali jerawat, seperti tindakan pemeriksaan langsung atau menggunakan alat skin analyzer, kedua cara ini sangat tidak efektif dalam pengenalan jerawat...

BACKGROUND This paper is to report the new imaging of gastric cancers without the use of imaging agents. Both gastric normal regions and gastric cancer regions can be distinguished by using the principal component analysis (PCA) based on the gray level co-occurrence matrix (GLCM). METHODS Human gastric cancer BGC823 cells were implanted into the stomachs of nude mice. Then, 3, 5, 7, 9 or 11 d...

Land Use and Land Cover (LULC) classification is vital for environmental and ecological applications. Sentinel-2 is a new generation land monitoring satellite with the advantages of novel spectral capabilities, wide coverage and fine spatial and temporal resolutions. The effects of different spatial resolution unification schemes and methods on LULC classification have been scarcely investigate...

Mammogram–breast x-ray is considered the most effective, low cost, and reliable method in early detection of breast cancer. Although general rules for the differentiation between benign and malignant breast lesion exist, only 15 to 30% of masses referred for surgical biopsy are actually malignant. In this work, an approach is proposed to develop a computer-aided classification system for cancer...