Results 71 to 80 of about 9,534,538 (365)

Correction to: Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning

BMC Medical Informatics and Decision Making, 2019
Following publication of the original ...
Muhammad Naseer Bajwa, Muhammad Imran Malik, Shoaib Ahmed Siddiqui, Andreas Dengel, Faisal Shafait, Wolfgang Neumeier, Sheraz Ahmed   +6 more
doaj   +1 more source

Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 1)

The Programming Historian, 2022
This is the first of a two-part lesson introducing deep learning based computer vision methods for humanities research. Using a dataset of historical newspaper advertisements and the fastai Python library, the lesson walks through the pipeline of ...
Daniel van Strien, Kaspar Beelen, Melvin Wevers, Thomas Smits, Katherine McDonough   +4 more
doaj   +1 more source

Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning

BMC Medical Informatics and Decision Making, 2019
Background With the advancement of powerful image processing and machine learning techniques, Computer Aided Diagnosis has become ever more prevalent in all fields of medicine including ophthalmology.
Muhammad Naseer Bajwa, Muhammad Imran Malik, Shoaib Ahmed Siddiqui, Andreas Dengel, Faisal Shafait, Wolfgang Neumeier, Sheraz Ahmed   +6 more
doaj   +1 more source

Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 2)

The Programming Historian, 2022
This is the second of a two-part lesson introducing deep learning based computer vision methods for humanities research. This lesson digs deeper into the details of training a deep learning based computer vision model.
Daniel van Strien, Kaspar Beelen, Melvin Wevers, Thomas Smits, Katherine McDonough   +4 more
doaj   +1 more source

Deep learning for time series classification: a review [PDF]

Data mining and knowledge discovery, 2018
Time Series Classification (TSC) is an important and challenging problem in data mining. With the increase of time series data availability, hundreds of TSC algorithms have been proposed.
Hassan Ismail Fawaz, G. Forestier, J. Weber, L. Idoumghar, Pierre-Alain Muller   +4 more
semanticscholar   +1 more source

On "Deep Learning" Misconduct

Proceedings of the 3rd International Symposium on Automation, Information and Computing, 2022
Accepted by ISAIC 2022, 8 pages, three figures.
openaire   +2 more sources

Deep learning

SIGGRAPH Asia 2019 Courses, 2018
Concepts, terminology, structures, no math, no code. Free open-source libraries do the hard work. My background: consultant, writer, director, etc.
Polson, Nicholas G., Sokolov, Vadim O.
  +6 more sources

A Deep Dive into Understanding Tumor Foci Classification using Multiparametric MRI Based on Convolutional Neural Network

, 2020
Deep learning models have had a great success in disease classifications using large data pools of skin cancer images or lung X-rays. However, data scarcity has been the roadblock of applying deep learning models directly on prostate multiparametric MRI (
Carver, Eric, Chetty, Indrin, Elshaikh, Mohamed, Feldman, Aharon, Hearshen, David, Janic, Branislava, Lee, Joon, Liu, Chang, Movsas, Benjamin, Pantelic, Milan, Wen, Ning, Zong, Weiwei   +11 more
core   +1 more source

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising [PDF]

IEEE Transactions on Image Processing, 2016
The discriminative model learning for image denoising has been recently attracting considerable attentions due to its favorable denoising performance.
K. Zhang, W. Zuo, Yunjin Chen, Deyu Meng, Lei Zhang   +4 more
semanticscholar   +1 more source

Deep API learning

Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016
Developers often wonder how to implement a certain functionality (e.g., how to parse XML files) using APIs. Obtaining an API usage sequence based on an API-related natural language query is very helpful in this regard. Given a query, existing approaches utilize information retrieval models to search for matching API sequences.
Xiaodong Gu, Dongmei Zhang, Sunghun Kim, Hongyu Zhang   +3 more
openaire   +3 more sources