Results 41 to 50 of about 538,674 (304)

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

Revista 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

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

Diagnostics, 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, Gerald Schaefer, Christine Löw, Georg Dorffner, Rupert Ecker, Isabella Ellinger   +5 more
doaj   +1 more source

Role of Computer Aided Diagnosis (CAD) in Medical Imaging

Central 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

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

Journal 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, Ganesan Ramachandran, Sindhu P Nellur Prakash, Sujitkumar Hiwale, Pallavi Vajinepalli, Indira Manyam, Devika Gunasheela   +6 more
doaj   +1 more source

Osteosarcoma MRI Image-Assisted Segmentation System Base on Guided Aggregated Bilateral Network

Mathematics, 2022
Osteosarcoma is a primary malignant tumor. It is difficult to cure and expensive to treat. Generally, diagnosis is made by analyzing MRI images of patients.
Yedong Shen, Fangfang Gou, Zhehao Dai
semanticscholar   +1 more source

Quantitative Analysis of the Time–Intensity Curve of Contrast-Enhanced Ultrasound of the Liver: Differentiation of Benign and Malignant Liver Lesions

Diagnostics, 2021
Background: To evaluate the diagnostic accuracy of quantitative perfusion parameters in contrast-enhanced ultrasound to differentiate malignant from benign liver lesions.
Sonja Schwarz, Dirk-André Clevert, Michael Ingrisch, Thomas Geyer, Vincent Schwarze, Johannes Rübenthaler, Marco Armbruster   +6 more
doaj   +1 more source

One-Pixel Attack Deceives Computer-Assisted Diagnosis of Cancer [PDF]

International Conference on Signal Processing and Machine Learning, 2020
Computer vision and machine learning can be used to automate various tasks in cancer diagnostic and detection. If an attacker can manipulate the automated processing, the results can be devastating and in the worst case lead to wrong diagnosis and ...
Joni Korpihalkola, T. Sipola, S. Puuska, T. Kokkonen   +3 more
semanticscholar   +1 more source

Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia

FEBS Letters, EarlyView.
This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley   +1 more source

S4ND: Single-Shot Single-Scale Lung Nodule Detection

, 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, Arnaud Arindra Adiyoso Setio, E Lopez Torres, H Kundel, J Ding, Q Dou, S Krishnamurthy, W Liu   +7 more
core   +1 more source

Interaction vesicles as emerging mediators of host‐pathogen molecular crosstalk and their implications for infection dynamics

FEBS Letters, EarlyView.
Interaction extracellular vesicles (iEVs) are hybrid vesicles formed through host‐pathogen communication. They facilitate immune evasion, transfer pathogens' molecules, increase host cell uptake, and enhance virulence. This Perspective article illustrates the multifunctional roles of iEVs and highlights their emerging relevance in infection dynamics ...
Bruna Sabatke, Izadora Volpato Rossi, Marcel I. Ramirez   +2 more
wiley   +1 more source