Results 41 to 50 of about 362,032 (300)

Predicting Malignancy of Breast Imaging Findings Using Quantitative Analysis of Contrast-Enhanced Mammography (CEM)

Diagnostics, 2023
We sought to develop new quantitative approaches to characterize the spatial distribution of mammographic density and contrast enhancement of suspicious contrast-enhanced mammography (CEM) findings to improve malignant vs.
Matthew M. Miller, Abu Hasnat Mohammad Rubaiyat, Gustavo K. Rohde   +2 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

Computer-assisted access to the kidney [PDF]

, 2005
OBJECTIVES: The aim of this paper is to introduce the principles of computer-assisted access to the kidney. The system provides the surgeon with a pre-operative 3D planning on computed tomography (CT) images.
Barbaric, Bascle, Davies, Lavallée, Leroy, Masamune, Nolte-Ernsting, Olsen, Sampaio, Soler, Su, Troccaz   +11 more
core   +2 more sources

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

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

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

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

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

B cell mechanobiology in health and disease: emerging techniques and insights into therapeutic responses

FEBS Letters, EarlyView.
B cells sense external mechanical forces and convert them into biochemical signals through mechanotransduction. Understanding how malignant B cells respond to physical stimuli represents a groundbreaking area of research. This review examines the key mechano‐related molecules and pathways in B lymphocytes, highlights the most relevant techniques to ...
Marta Sampietro, Marco Cellani, Cristina Scielzo   +2 more
wiley   +1 more source

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

FEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan, Lu Qi, Pierre Zalloua   +2 more
wiley   +1 more source