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   Articles with "deep features" as a keyword



mpMRI‐based MGMT methylation status prediction for glioblastoma through off‐the‐shelf deep features: A multi‐dataset feasibility study

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recommendations! Published in 2025 at "Journal of Applied Clinical Medical Physics"

DOI: 10.1002/acm2.70373

Abstract: Abstract Objectives O‐6‐methylguanine DNA methyltransferase (MGMT) promoter methylation status is a critical prognostic factor in glioblastoma. The aim of this study is to evaluate the feasibility of diagnosing MGMT status in a rapid, non‐invasive manner… read more here.

Keywords: deep features; external validation; status; methylation status ... See more keywords

Deep hybrid model for Mpox disease diagnosis from skin lesion images

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recommendations! Published in 2024 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.23044

Abstract: This research presents DNLR‐NET, a novel model designed for automated and accurate diagnosis of MPox disease. The model's performance is constructed and validated using a carefully collected MPox dataset from online repositories. DNLR‐NET begins by… read more here.

Keywords: diagnosis; mpox disease; deep features; model ... See more keywords

Grading of hepatocellular carcinoma based on diffusion weighted images with multiple b-values using convolutional neural networks.

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recommendations! 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.

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recommendations! 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
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Corrigendum for “Fast and incremental loop closure detection with deep features and proximity graphs”

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recommendations! 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

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recommendations! 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

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recommendations! 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

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recommendations! 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

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recommendations! 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
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Ensemble of handcrafted and deep features for urban sound classification

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recommendations! Published in 2021 at "Applied Acoustics"

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

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recommendations! 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