Results 51 to 60 of about 375,552 (309)

Age determination of eels in the French Mediterranean lagoons using classical methods and an image analysis system [PDF]

open access: yes, 1990
Several methods are used for age determination of eels in the French mediterranean lagoons (observation of the whole otolith after clearing, grinding and polishing, dyeing, SEM and image analysis).
Do Chi, T.   +2 more
core   +1 more source

Deep Learning in Cardiology

open access: yes, 2021
The medical field is creating large amount of data that physicians are unable to decipher and use efficiently. Moreover, rule-based expert systems are inefficient in solving complicated medical tasks or for creating insights using big data. Deep learning
Bizopoulos, Paschalis   +1 more
core   +1 more source

Role of Computer Aided Diagnosis (CAD) in Medical Imaging

open access: yesCentral Asian Journal of Medical Sciences, 2015
Objectives: We introduce the various methods of image analysis used for CAD. In addition, we provide a guide for the clinician through examples which use the CAD.
Seung Won Shin, Kwang Gi Kim
doaj   +1 more source

Domestic three-dimensional scanner and printer in patients undergoing rhinoplasty [PDF]

open access: yesRevista Brasileira de Cirurgia Plástica, 2018
The principles for a successful rhinoplasty include preoperative consultation and planning, as well as a comprehensive clinical analysis and defining rhinoplasty goals. Three-dimensional domestic scanning and printing have recently become available.
Denis Souto Valente, Niveo Steffen
doaj   +1 more source

Medical Image Magnification Based on Original and Estimated Pixel Selection Models [PDF]

open access: yesJournal of Biomedical Physics and Engineering, 2020
Background: The issue of medial image resolution enhancement is one of the most important topics for medical imaging that helps improve the performance of many post-processing aspects like classification and segmentation towards medical diagnosis ...
O Akbarzadeh   +3 more
doaj   +1 more source

Cytomorphometric Study of Changes in Buccal Mucosal Cells in Alcoholics

open access: yesAdvanced Biomedical Research, 2020
Background: Chronic alcohol consumption carries a high risk for oral and pharyngeal cancers among persons who have never smoked. Excessive alcohol consumption displays cytogenetic changes in oral mucosa cells.
Banushree Chandrasekhar Srinivasamurthy   +4 more
doaj   +1 more source

Investigating the Impact of the Bit Depth of Fluorescence-Stained Images on the Performance of Deep Learning-Based Nuclei Instance Segmentation

open access: yesDiagnostics, 2021
Nuclei instance segmentation can be considered as a key point in the computer-mediated analysis of histological fluorescence-stained (FS) images. Many computer-assisted approaches have been proposed for this task, and among them, supervised deep learning
Amirreza Mahbod   +5 more
doaj   +1 more source

Automated follicular assessment using a novel two-dimensional ultrasound-based solution

open access: yesJournal of Medical Ultrasound, 2021
Background: High intra- and interobserver variability in the follicular assessment using two-dimensional (2D) ultrasound (US) is still a concern. To solve this issue, we have developed a novel software solution, which automatically provides follicles ...
Celine Firtion   +6 more
doaj   +1 more source

Changes in Body Composition in Children and Young People Undergoing Treatment for Acute Lymphoblastic Leukemia: A Systematic Review and Meta‐Analysis

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed   +5 more
wiley   +1 more source

S4ND: Single-Shot Single-Scale Lung Nodule Detection

open access: yes, 2018
The state of the art lung nodule detection studies rely on computationally expensive multi-stage frameworks to detect nodules from CT scans. To address this computational challenge and provide better performance, in this paper we propose S4ND, a new deep
AAA Setio   +7 more
core   +1 more source

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