Attention Mask R‐CNN with edge refinement algorithm for identifying circulating genetically abnormal cells
Sign Up to like & getrecommendations! Published in 2022 at "Cytometry Part A"
DOI: 10.1002/cyto.a.24682
Abstract: Recent studies have suggested that circulating tumor cells with abnormalities in gene copy numbers in mononuclear cell‐enriched peripheral blood samples, such as circulating genetically abnormal cells (CACs), can be used as a non‐invasive tool to… read more here.
Keywords: cell; cnn; abnormal cells; mask cnn ... See more keywords
Generating synthetic CTs from magnetic resonance images using generative adversarial networks
Sign Up to like & getrecommendations! Published in 2018 at "Medical Physics"
DOI: 10.1002/mp.13047
Abstract: PURPOSE While MR-only treatment planning using synthetic CTs (synCTs) offers potential for streamlining clinical workflow, a need exists for an efficient and automated synCT generation in the brain to facilitate near real-time MR-only planning. This… read more here.
Keywords: generative adversarial; adversarial networks; model; synthetic cts ... See more keywords
A convolutional neural network algorithm for automatic segmentation of head and neck organs at risk using deep lifelong learning.
Sign Up to like & getrecommendations! Published in 2019 at "Medical physics"
DOI: 10.1002/mp.13495
Abstract: PURPOSE This study suggests a lifelong learning-based convolutional neural network (LL-CNN) algorithm as a superior alternative to single-task learning approaches for automatic segmentation of head and neck (OARs) organs at risk. METHODS AND MATERIALS Lifelong… read more here.
Keywords: lifelong learning; network; head neck; cnn ... See more keywords
Deep learning-based motion compensation for four-dimensional cone-beam computed tomography (4D-CBCT) reconstruction.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.16103
Abstract: BACKGROUND Motion-compensated (MoCo) reconstruction shows great promise in improving four-dimensional cone-beam computed tomography (4D-CBCT) image quality. MoCo reconstruction for a 4D-CBCT could be more accurate using motion information at the CBCT imaging time than that… read more here.
Keywords: cbct images; cnn; motion; reconstruction ... See more keywords
A new artificial intelligence system successfully detects and localises early neoplasia in Barrett's esophagus by using convolutional neural networks
Sign Up to like & getrecommendations! Published in 2022 at "United European Gastroenterology Journal"
DOI: 10.1002/ueg2.12233
Abstract: Abstract Background and aims Seattle protocol biopsies for Barrett's Esophagus (BE) surveillance are labour intensive with low compliance. Dysplasia detection rates vary, leading to missed lesions. This can potentially be offset with computer aided detection.… read more here.
Keywords: barrett esophagus; neural networks; intelligence system; cnn ... See more keywords
A deep learning approach to automatically quantify lower extremity alignment in children
Sign Up to like & getrecommendations! Published in 2021 at "Skeletal Radiology"
DOI: 10.1007/s00256-021-03844-2
Abstract: To develop and validate a convolutional neural network (CNN) capable of predicting the anatomical landmarks used to calculate the hip-knee-ankle angles (HKAAs) from radiographs and thereby quantify lower extremity alignments in children. A search of… read more here.
Keywords: lower extremity; extremity; extremity alignment; quantify lower ... See more keywords
Evaluation of a novel deep learning–based classifier for perifissural nodules
Sign Up to like & getrecommendations! Published in 2020 at "European Radiology"
DOI: 10.1007/s00330-020-07509-x
Abstract: To evaluate the performance of a novel convolutional neural network (CNN) for the classification of typical perifissural nodules (PFN). Chest CT data from two centers in the UK and The Netherlands (1668 unique nodules, 1260… read more here.
Keywords: agreement; reader; pfns; perifissural nodules ... See more keywords
A graph-based CNN-LSTM stock price prediction algorithm with leading indicators
Sign Up to like & getrecommendations! Published in 2021 at "Multimedia Systems"
DOI: 10.1007/s00530-021-00758-w
Abstract: In today’s society, investment wealth management has become a mainstream of the contemporary era. Investment wealth management refers to the use of funds by investors to arrange funds reasonably, for example, savings, bank financial products,… read more here.
Keywords: prediction; cnn; investment; price prediction ... See more keywords
Automatic Segmentation of Meniscus in Multispectral MRI Using Regions with Convolutional Neural Network (R-CNN)
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Digital Imaging"
DOI: 10.1007/s10278-020-00329-x
Abstract: The meniscus has a significant function in human anatomy, and Magnetic Resonance Imaging (MRI) has an essential role in meniscus examination. Due to a variety of MRI data, it is excessively difficult to segment the… read more here.
Keywords: network cnn; convolutional neural; mri; neural network ... See more keywords
Deep CNN with Hybrid Binary Local Search and Particle Swarm Optimizer for Exudates Classification from Fundus Images
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Digital Imaging"
DOI: 10.1007/s10278-021-00534-2
Abstract: Diabetic retinopathy is a chronic condition that causes vision loss if not detected early. In the early stage, it can be diagnosed with the aid of exudates which are called lesions. However, it is arduous… read more here.
Keywords: cnn; classification; particle swarm; binary local ... See more keywords
RecogNet-LSTM+CNN: a hybrid network with attention mechanism for aspect categorization and sentiment classification
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Intelligent Information Systems"
DOI: 10.1007/s10844-021-00692-3
Abstract: Sentiment analysis for user reviews has received substantial heed in recent years. There are many deep learning models for natural language processing (NLP) applications. Long-short term memory (LSTM) and Convolutional neural network (CNN) based models… read more here.
Keywords: sentiment; aspect categorization; lstm; cnn ... See more keywords