Image classification plays an important role in many applicable fields in our life, such as image analysis, remote sensing, and pattern recognition [9]. It can be defined as the process of sorting all the pixels in an image into a finite number of individual classes[5]. There are many types of techniques which can be used to classify and recognize different types of objects in images. For conve...

purpose : to evaluate the effectiveness of chemoreduction (crd) for globe saving in patients with intraocular retinoblastoma methods : in this interventional case series all patients with intraocular retinoblastoma were included and classified according to the international classification of retinoblastoma (icrb) from group a to e. six cycles of intravenous vincristine, etoposide and carboplati...

AIM OF THE STUDY Based on the authors' fieldwork in a Sundanese village, Indonesia, this paper aimed to elucidate the roles of herbal medicine in treatment of illnesses and to report medicinal plants and their uses, comparing with those mentioned in the encyclopedic book series of Plant Resources of South-East Asia (PROSEA). MATERIALS AND METHODS Interview survey was conducted for all of the ...

Introduction: There is concern about cancer risk from living near nuclear power plants (NPP). Different studies yield different results and this study seeks to add to the body of knowledge on the topic. Methods: Using an ecological design, pair-wise comparisons were made for cancer death rates (CDR) in three county classifications for U.S. NPPs: counties where a NPP was located, counties that b...

A deep learning-based two-label classifier 1 recognized a 20% morphological change in the activated flocs. Classifier-2 quantitatively an abundance of filamentous bacteria

Numerous studies highlight the importance of phytotherapy for indigenous and non-indigenous people in different parts of the world. In this work we analyze the richness (number of species), diversity (plant identity and the number of illnesses for which it is used) and similarity of plant species and illnesses treated with them, in order to contribute new data and insight into the importance of...

We show that a model for drought stress level classification of tobacco leaves can be learned from measurement data. The data was acquired using a sheet-of-light measurement system developed at the Fraunhofer Institute for Integrated Circuits IIS. Spatial attributes like length, width or bending were extracted by fitting a parameterized leaf model to the measurement data. The attributes were tr...