Evaluation of kidney histological images using unsupervised deep learning
نویسندگان
چکیده
منابع مشابه
Learning Paired-Associate Images with an Unsupervised Deep Learning Architecture
This paper presents an unsupervised multi-modal learning system that learns associative representation from two input modalities, or channels, such that input on one channel will correctly generate the associated response at the other and vice versa. In this way, the system develops a kind of supervised classification model meant to simulate aspects of human associative memory. The system uses ...
متن کاملText summarization using unsupervised deep learning
We present methods of extractive query-oriented single-document summarization using a deep auto-encoder (AE) to compute a feature space from the term-frequency (tf ) input. Our experiments explore both local and global vocabularies. We investigate the effect of adding small random noise to local tf as the input representation of AE, and propose an ensemble of such noisy AEs which we call the En...
متن کاملDeep Unsupervised Learning using Nonequilibrium Thermodynamics
A central problem in machine learning involves modeling complex data-sets using highly flexible families of probability distributions in which learning, sampling, inference, and evaluation are still analytically or computationally tractable. Here, we develop an approach that simultaneously achieves both flexibility and tractability. The essential idea, inspired by non-equilibrium statistical ph...
متن کاملAn Unsupervised Deep-Learning Architecture That Can Reconstruct Paired Images
This paper presents an unsupervised learning system that develops an associative memory structure that combines two or more channels of input/output such that input on one channel will correctly generate the associated response at the other channel and vice versa. A deep learning architecture is described that can reconstruct an image of a MNIST handwritten digit from another paired handwritten...
متن کاملEarly detection of MS in fMRI images using deep learning techniques
Introduction & Objective:MS is a disease of the central nervous system in which the body makes a defensive attack on its tissues. The disease can affect the brain and spinal cord, causing a wide range of potential symptoms, including balance, movement and vision problems. MRI and fMRI images are a very important tool in the diagnosis and treatment of MS. The aim of this study was to provide...
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: Kidney International Reports
سال: 2021
ISSN: 2468-0249
DOI: 10.1016/j.ekir.2021.06.008