Grading of hepatocellular carcinoma based on diffusion weighted images with multiple b-values using convolutional neural networks.
Sign Up to like & getrecommendations! Published in 2019 at "Medical physics"
DOI: 10.1002/mp.13642
Abstract: PURPOSE To effectively grade hepatocellular carcinoma (HCC) based on deep features derived from diffusion weighted images (DWI) with multiple b-values using convolutional neural networks (CNN). MATERIALS AND METHODS Ninety-eight subjects with 100 pathologically confirmed HCC… read more here.
Keywords: hepatocellular carcinoma; features derived; diffusion weighted; deep features ... See more keywords
Using 3D deep features from CT scans for cancer prognosis based on a video classification model: A multi-dataset feasibility study.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16430
Abstract: BACKGROUND Cancer prognosis before and after treatment is key for patient management and decision making. Handcrafted imaging biomarkers-radiomics-have shown potential in predicting prognosis. PURPOSE However, given the recent progress in deep learning, it is timely… read more here.
Keywords: cancer prognosis; cancer; deep features; video classification ... See more keywords
Corrigendum for “Fast and incremental loop closure detection with deep features and proximity graphs”
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Field Robotics"
DOI: 10.1002/rob.22137
Abstract: In the published article, on page 4, a sentence is appearing as “The score map learning process is the same as the original version.” should be read as “The score map learning process is the… read more here.
Keywords: detection deep; incremental loop; deep features; fast incremental ... See more keywords
Stomach Deformities Recognition Using Rank-Based Deep Features Selection
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Medical Systems"
DOI: 10.1007/s10916-019-1466-3
Abstract: Doctor utilizes various kinds of clinical technologies like MRI, endoscopy, CT scan, etc., to identify patient’s deformity during the review time. Among set of clinical technologies, wireless capsule endoscopy (WCE) is an advanced procedures used… read more here.
Keywords: deformities recognition; features selection; stomach deformities; recognition using ... See more keywords
A loss combination based deep model for person re-identification
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-5009-y
Abstract: The Convolutional Neural Network (CNN) has significantly improved the state-of-the-art in person re-identification (re-ID). In the existing available identification CNN model, the softmax loss function is employed as the supervision signal to train the CNN… read more here.
Keywords: cnn model; person; deep features; cnn ... See more keywords
Fruits diseases classification: exploiting a hierarchical framework for deep features fusion and selection
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09244-3
Abstract: In agriculture farming business, plant diseases are one of the reasons for the financial deficits around the globe. It is the fundamental factor, as it causes significant abatement in both capacity and quality of the… read more here.
Keywords: selection; deep features; classification exploiting; diseases classification ... See more keywords
Adaptive UNet-based Lung Segmentation and Ensemble Learning with CNN-based Deep Features for Automated COVID-19 Diagnosis
Sign Up to like & getrecommendations! Published in 2022 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-021-11787-y
Abstract: COVID-19 disease is a major health calamity in twentieth century, in which the infection is spreading at the global level. Developing countries like Bangladesh, India, and others are still facing a delay in recognizing COVID-19… read more here.
Keywords: lung; deep features; segmentation; cnn ... See more keywords
Ensemble of handcrafted and deep features for urban sound classification
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DOI: 10.1016/j.apacoust.2020.107819
Abstract: Abstract The urban sound classification has a strong relation with feature extraction. In this paper, we present a compact and effective representation capable of characterizing different urban sounds based on deep and handcrafted features combination.… read more here.
Keywords: sound classification; classification; ensemble handcrafted; urban sound ... See more keywords
A large margin piecewise linear classifier with fusion of deep features in the diagnosis of COVID-19
Sign Up to like & getrecommendations! Published in 2021 at "Computers in Biology and Medicine"
DOI: 10.1016/j.compbiomed.2021.104927
Abstract: The world has experienced epidemics of coronavirus infections several times over the last two decades. Recent studies have shown that using medical imaging techniques can be useful in developing an automatic computer-aided diagnosis system to… read more here.
Keywords: large margin; margin piecewise; linear classifier; deep features ... See more keywords
Autoencoded deep features for semi-automatic, weakly supervised physiological signal labelling
Sign Up to like & getrecommendations! Published in 2022 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2022.105294
Abstract: BACKGROUND AND AIMS Machine Learning is transforming data processing in medical research and clinical practice. Missing data labels are a common limitation to training Machine Learning models. To overcome missing labels in a large dataset… read more here.
Keywords: autoencoded deep; deep features; physiological signal; machine learning ... See more keywords
Enhanced prediction of recombination hotspots using input features extracted by class specific autoencoders.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of theoretical biology"
DOI: 10.1016/j.jtbi.2018.02.016
Abstract: In yeast and in some mammals the frequencies of recombination are high in some genomic locations which are known as recombination hotspots and in the locations where the recombination is below average are consequently known… read more here.
Keywords: specific autoencoders; class specific; features extracted; deep features ... See more keywords