Results 51 to 60 of about 277,259 (259)

What Can We Actually See Using Computer Aided Detection in Mammography?

Acta Clinica Croatica, 2020
The main goal of this study was to compare the results of computer aided detection (CAD) analysis in screening mammography with the results independently obtained by two radiologists for the same samples and to determine the sensitivity and specificity
Marina Džoić Dominković, Gordana Ivanac, Niko Radović, Mislav Čavka   +3 more
doaj   +1 more source

Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data

Molecular Oncology, EarlyView.
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu, Katherine Eason, Suet‐Feung Chin, Paul A. W. Edwards, Raquel Manzano Garcia, Richard Moulange, Jia Wern Pan, Soo Hwang Teo, Sach Mukherjee, Maurizio Callari, Carlos Caldas, Stephen‐John Sammut, Oscar M. Rueda   +12 more
wiley   +1 more source

Utilizing Smart Objects, Smart Filters, and Layers for Nondestructive Radiology Image Editing

MedEdPORTAL, 2010
The latest versions of Photoshop have introduced powerful and useful tools to radiologists. By using the program's Smart Objects, Smart Filters, and Layers, we can now preserve the original quality of our images and perform nondestructive, reversible ...
Mahesh Thapa, George Taylor
doaj   +1 more source

Risk assessment of hepatocellular carcinoma development for indeterminate hepatic nodules in patients with chronic hepatitis B [PDF]

Clinical and Molecular Hepatology, 2019
Background/Aims A risk prediction model for the development of hepatocellular carcinoma (HCC) from indeterminate nodules detected on computed tomography (CT) (RadCT score) in patients with chronic hepatitis B (CHB)-related cirrhosis was proposed.
Haneulsaem Shin, Yeon Woo Jung, Beom Kyung Kim, Jun Yong Park, Do Young Kim, Sang Hoon Ahn, Kwang-Hyub Han, Yeun-Yoon Kim, Jin-Young Choi, Seung Up Kim   +9 more
doaj   +1 more source

Nonparametric joint shape learning for customized shape modeling [PDF]

, 2010
We present a shape optimization approach to compute patient-specific models in customized prototyping applications. We design a coupled shape prior to model the transformation between a related pair of surfaces, using a nonparametric joint probability ...
Unal, Gozde, Ünal, Gözde
core   +1 more source

Data‐driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes

Molecular Oncology, EarlyView.
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh, Nikola Tom, Anna Schrøder Lassen, Helene Brasch Lind Petersen, Ulrik Kristoffer Stoltze, Karin Wadt, Kjeld Schmiegelow, Matteo Tiberti, Elena Papaleo   +8 more
wiley   +1 more source

Correlation of Semi-Quantitative Breast-Specific Gamma Imaging Findings with Dynamic Contrast-Enhanced MRI Parameters Assessed by a Computer-Aided Evaluation Program for Breast Cancer

대한영상의학회지, 2018
Purpose: To investigate whether a correlation exists between the semi-quantitative breast-specific gamma imaging (BSGI) findings and dynamic contrast-enhanced (DCE) MRI parameters assessed by a computer-aided evaluation program. Materials and Methods:
Saemee Ahn, Hye Ryoung Koo, Jeong Seon Park, Juhee Moon, Yun Young Choi, Min Sung Chung   +5 more
doaj   +1 more source

Comprehensive omics‐based classification system in adult patients with B‐cell acute lymphoblastic leukemia

Molecular Oncology, EarlyView.
The COMBAT classification system, developed through multi‐omics integration, stratifies adult patients with B‐cell acute lymphoblastic leukemia(B‐ALL) into three molecular subtypes with distinct surface antigen patterns, immune landscape, methylation patterns, biological pathways and prognosis.
Yang Song, Ting Liu, Qishan Hao, Qiuyun Fang, Xiaoyuan Gong, Yan Li, Zheng Tian, Hui Wei, Min Wang, Jianxiang Wang, Tao Cheng, Yingchang Mi   +11 more
wiley   +1 more source

3D Computer-Aided Detection for Digital Breast Tomosynthesis: Comparison with 2D Computer-Aided Detection for Digital Mammography in the Detection of Calcifications

대한영상의학회지, 2017
Purpose To retrospectively evaluate the performance of 3D computer-aided detection (CAD) for digital breast tomosynthesis (DBT) in the detection of calcifications in comparison with 2D CAD for digital mammography (DM).
A Jung Chu, Nariya Cho, Jung Min Chang, Won Hwa Kim, Su Hyun Lee, Sung Eun Song, Sung Ui Shin, Woo Kyung Moon   +7 more
doaj   +1 more source

Quantitating the Subtleties of Microglial Morphology with Fractal Analysis

Frontiers in Cellular Neuroscience, 2013
It is well established that microglial form and function are inextricably linked. In recent years, the traditional view that microglial form ranges between "ramified resting" and "activated amoeboid" has been emphasized through ...
Audrey eKarperien, Helmut eAhammer, Herbert eJelinek, Herbert eJelinek   +3 more
doaj   +1 more source