Improving the segmentation of scanning probe microscope images using convolutional neural networks
نویسندگان
چکیده
منابع مشابه
Studying of various nanolithography methods by using Scanning Probe Microscope
The Scanning Probe Microscopes (SPMs) based lithographic techniques have been demonstrated as an extremely capable patterning tool. Manipulating surfaces, creating atomic assembly, fabricating chemical patterns, imaging topography and characterizing various mechanical properties of materials in nanometer regime are enabled by this technique. In this paper, a qualified overview of diverse lithog...
متن کاملStudying of various nanolithography methods by using Scanning Probe Microscope
The Scanning Probe Microscopes (SPMs) based lithographic techniques have been demonstrated as an extremely capable patterning tool. Manipulating surfaces, creating atomic assembly, fabricating chemical patterns, imaging topography and characterizing various mechanical properties of materials in nanometer regime are enabled by this technique. In this paper, a qualified overview of diverse lithog...
متن کاملFine Hand Segmentation using Convolutional Neural Networks
We propose a method for extracting very accurate masks of hands in egocentric views. Our method is based on a novel Deep Learning architecture: In contrast with current Deep Learning methods, we do not use upscaling layers applied to a low-dimensional representation of the input image. Instead, we extract features with convolutional layers and map them directly to a segmentation mask with a ful...
متن کاملstudying of various nanolithography methods by using scanning probe microscope
the scanning probe microscopes (spms) based lithographic techniques have been demonstrated as an extremely capable patterning tool. manipulating surfaces, creating atomic assembly, fabricating chemical patterns, imaging topography and characterizing various mechanical properties of materials in nanometer regime are enabled by this technique. in this paper, a qualified overview of diverse lithog...
متن کاملSegmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks
Osteoporosis is a public health problem characterized by increased fracture risk secondary to low bone mass and microarchitectural deterioration of bone tissue. Almost all fractures of the hip require hospitalization and major surgery. Early diagnosis of osteoporosis plays an important role in preventing osteoporotic fracture. Magnetic resonance imaging (MRI) has been successfully performed to ...
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: Machine Learning: Science and Technology
سال: 2020
ISSN: 2632-2153
DOI: 10.1088/2632-2153/abc81c