Learning to Recognize Chest-Xray Images Faster and More Efficiently Based on Multi-Kernel Depthwise Convolution
نویسندگان
چکیده
منابع مشابه
Neural Network-Based Learning Kernel for Automatic Segmentation of Multiple Sclerosis Lesions on Magnetic Resonance Images
Background: Multiple Sclerosis (MS) is a degenerative disease of central nervous system. MS patients have some dead tissues in their brains called MS lesions. MRI is an imaging technique sensitive to soft tissues such as brain that shows MS lesions as hyper-intense or hypo-intense signals. Since manual segmentation of these lesions is a laborious and time consuming task, automatic segmentation ...
متن کاملLearning to Recognize Objects in Images
The goal of our project is to quickly and reliably classify objects in an image. The envisioned application is an aid for the visually-impaired in a real-time situation, i.e. an algorithm that can be run on a mobile device, with real-time environmental data being collected via the device’s camera. Ideally, the camera would capture an image of the user’s path and the proposed method would determ...
متن کاملCrop Land Change Monitoring Based on Deep Learning Algorithm Using Multi-temporal Hyperspectral Images
Change detection is done with the purpose of analyzing two or more images of a region that has been obtained at different times which is Generally one of the most important applications of satellite imagery is urban development, environmental inspection, agricultural monitoring, hazard assessment, and natural disaster. The purpose of using deep learning algorithms, in particular, convolutional ...
متن کاملEfficiently Representing the Radiosity Kernel through Learning
A novel method for approximating the radiosity kernel by a discrete set of basis functions is presented. The algorithm is characterized by selecting samples from the geometry deenition and iteratively creates a functional model instantiated by a set of Gaussian basis functions. These are supported over the whole environment and thus, surfaces are not considered separately. Together with the imp...
متن کاملneural network-based learning kernel for automatic segmentation of multiple sclerosis lesions on magnetic resonance images
background: multiple sclerosis (ms) is a degenerative disease of central nervous system. ms patients have some dead tissues in their brains called ms lesions. mri is an imaging technique sensitive to soft tissues such as brain that shows ms lesions as hyper-intense or hypo-intense signals. since manual segmentation of these lesions is a laborious and time consuming task, automatic segmentation ...
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: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.2974242