Results 121 to 130 of about 549,661 (323)

Chromosomal Structural Abnormality Diagnosis by Homologous Similarity [PDF]

open access: yes
Pathogenic chromosome abnormalities are very common among the general population. While numerical chromosome abnormalities can be quickly and precisely detected, structural chromosome abnormalities are far more complex and typically require considerable efforts by human experts for identification.
arxiv   +1 more source

Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge [PDF]

open access: yesarXiv, 2017
This paper addresses the problem of joint detection and recounting of abnormal events in videos. Recounting of abnormal events, i.e., explaining why they are judged to be abnormal, is an unexplored but critical task in video surveillance, because it helps human observers quickly judge if they are false alarms or not. To describe the events in the human-
arxiv  

Multiple Abnormality Detection for Automatic Medical Image Diagnosis Using Bifurcated Convolutional Neural Network [PDF]

open access: yesarXiv, 2018
Automating classification and segmentation process of abnormal regions in different body organs has a crucial role in most of medical imaging applications such as funduscopy, endoscopy, and dermoscopy. Detecting multiple abnormalities in each type of images is necessary for better and more accurate diagnosis procedure and medical decisions.
arxiv  

Inheritance of an Abnormality [PDF]

open access: yesNature, 1906
A CASE of the heredity of an abnormality of the hand may be of interest to some of your readers.
openaire   +3 more sources

Human papillomavirus (HPV) prediction for oropharyngeal cancer based on CT by using off‐the‐shelf features: A dual‐dataset study

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Background This study aims to develop a novel predictive model for determining human papillomavirus (HPV) presence in oropharyngeal cancer using computed tomography (CT). Current image‐based HPV prediction methods are hindered by high computational demands or suboptimal performance.
Junhua Chen   +3 more
wiley   +1 more source

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