Search Results - "LONG, L. Rodney"
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An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening
Published in JNCI : Journal of the National Cancer Institute (01-09-2019)“…Human papillomavirus vaccination and cervical screening are lacking in most lower resource settings, where approximately 80% of more than 500 000 cancer cases…”
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Histology image analysis for carcinoma detection and grading
Published in Computer methods and programs in biomedicine (01-09-2012)“…Abstract This paper presents an overview of the image analysis techniques in the domain of histopathology, specifically, for the objective of automated…”
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Ensemble Deep Learning for Cervix Image Selection toward Improving Reliability in Automated Cervical Precancer Screening
Published in Diagnostics (Basel) (03-07-2020)“…Automated Visual Examination (AVE) is a deep learning algorithm that aims to improve the effectiveness of cervical precancer screening, particularly in low-…”
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Cross-Dataset Evaluation of Deep Learning Networks for Uterine Cervix Segmentation
Published in Diagnostics (Basel) (14-01-2020)“…Evidence from recent research shows that automatic visual evaluation (AVE) of photographic images of the uterine cervix using deep learning-based algorithms…”
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Deep Metric Learning for Cervical Image Classification
Published in IEEE access (2021)“…Cervical cancer is caused by the persistent infection of certain types of the Human Papillomavirus (HPV) and is a leading cause of female mortality…”
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SegAN: Adversarial Network with Multi-scale L 1 Loss for Medical Image Segmentation
Published in Neuroinformatics (Totowa, N.J.) (01-10-2018)“…Inspired by classic Generative Adversarial Networks (GANs), we propose a novel end-to-end adversarial neural network, called SegAN, for the task of medical…”
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Selective synthetic augmentation with HistoGAN for improved histopathology image classification
Published in Medical image analysis (01-01-2021)“…•A novel conditional GAN for synthesizing realistic histopathology images.•Selective synthetic data augmentation with model and image selection.•Extensive…”
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Multi-feature based benchmark for cervical dysplasia classification evaluation
Published in Pattern recognition (01-03-2017)“…Cervical cancer is one of the most common types of cancer in women worldwide. Most deaths due to the disease occur in less developed areas of the world. In…”
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Multimodal Entity Coreference for Cervical Dysplasia Diagnosis
Published in IEEE transactions on medical imaging (01-01-2015)“…Cervical cancer is the second most common type of cancer for women. Existing screening programs for cervical cancer, such as Pap Smear, suffer from low…”
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Deep multiple-instance learning for abnormal cell detection in cervical histopathology images
Published in Computers in biology and medicine (01-11-2021)“…Cervical cancer is a disease of significant concern affecting women's health worldwide. Early detection of and treatment at the precancerous stage can help…”
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Content-based image retrieval for scientific literature access
Published in Methods of information in medicine (01-01-2009)“…An increasing number of articles are published electronically in the scientific literature, but access is limited to alphanumerical search on title, author, or…”
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SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation
Published in Neuroinformatics (Totowa, N.J.) (01-10-2018)“…Inspired by classic Generative Adversarial Networks (GANs), we propose a novel end-to-end adversarial neural network, called SegAN, for the task of medical…”
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SPIRS: A Web-based image retrieval system for large biomedical databases
Published in International journal of medical informatics (Shannon, Ireland) (01-04-2009)“…Abstract Purpose With the increasing use of images in disease research, education, and clinical medicine, the need for methods that effectively archive, query,…”
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An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening
Published in Obstetrical & gynecological survey (01-06-2019)“…(Abstracted from J Natl Cancer Inst 2019; doi10.1093/jnci/djy225)Ninety-nine percent of cervical cancers cases are caused by infections with a human…”
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Network Visualization and Pyramidal Feature Comparison for Ablative Treatability Classification Using Digitized Cervix Images
Published in Journal of clinical medicine (01-03-2021)“…Uterine cervical cancer is a leading cause of women's mortality worldwide. Cervical tissue ablation is an effective surgical excision of high grade lesions…”
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A Deep Clustering Method For Analyzing Uterine Cervix Images Across Imaging Devices
Published in 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS) (01-06-2021)“…Visual inspection of the cervix with acetic acid (VIA), though error prone, has long been used for screening women and to guide management for cervical cancer…”
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Age-related changes of the cervix influence human papillomavirus type distribution
Published in Cancer research (Chicago, Ill.) (15-01-2006)“…Approximately 15 human papillomavirus (HPV) types cause virtually all cervical cancer whereas other HPV types are unrelated to cancer. We were interested in…”
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CBIR of spine X-ray images on inter-vertebral disc space and shape profiles using feature ranking and voting consensus
Published in Data & knowledge engineering (01-12-2009)“…Very limited research is published in the literature that applies content-based image retrieval (CBIR) techniques to retrieval of digitized spine X-ray images…”
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Using relevance feedback with short-term memory for content-based spine X-ray image retrieval
Published in Neurocomputing (Amsterdam) (01-06-2009)“…Managing large medical image databases has become a challenging task as more medical images are produced and stored in digital format. Computer-aided decision…”
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Digital tools for collecting data from cervigrams for research and training in colposcopy
Published in Journal of lower genital tract disease (01-01-2006)“…Colposcopy is a critical part of gynecologic practice but has documented deficiencies, including lack of correlation between the colposcopic appearance and the…”
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