Results 21 to 30 of about 1,151,344 (286)

Medical Image Processing

, 2021
Medical image analysis and processing has become popular among the researches to help improve patient care and diagnostic process. Recently, deep learning based models have been efficient in object detection on medical images and applied in several medical disciplines. Our main goal is to show use of deep learning based detector to detect growth plates
Božić-Štulić, Dunja, Vicković, Linda, Gotovac, Sven   +2 more
openaire   +3 more sources

Spatial correlations exploitation based on nonlocal voxel-wise GWAS for biomarker detection of AD

NeuroImage: Clinical, 2019
Potential biomarker detection is a crucial area of study for the prediction, diagnosis, and monitoring of Alzheimer's disease (AD). The voxelwise genome-wide association study (vGWAS) is widely used in imaging genomics studies that is usually applied to ...
Meiyan Huang, Chunyan Deng, Yuwei Yu, Tao Lian, Wei Yang, Qianjin Feng   +5 more
doaj   +1 more source

Computational advances applied to medical image processing:an update [PDF]

, 2016
Medical imaging provides a high-fidelity, noninvasive, or minimally invasive means for effective diagnostic and routine checks, and has become an established tool in both clinical and research settings.
Gambaruto, Alberto, João, Ana, Sequeira, Adélia, Tiago, Jorge   +3 more
core   +2 more sources

Carcinomas and Carcinoid Tumors of the Lungs and Bronchi in Children and Adolescents: The EXPeRT Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele, Calogero Virgone, Michaela Kuhlen, Sabine Irtan, Yves Reguerre, Malgorzata Krawczyk, Ewa Bien, Tal Ben‐Ami, Maja Cesen, Ricardo Lopez‐Almaraz, Andrea Ferrari, Gianni Bisogno, Dominik T. Schneider, Abbas Agaimy, Constantin Lapa, Hubert Ducou le Pointe, Rainer Claus, Catherine Daniel, Ines B. Brecht, Daniel Orbach   +19 more
wiley   +1 more source

Soft Tissue/Bone Decomposition of Conventional Chest Radiographs Using Nonparametric Image Priors

Applied Bionics and Biomechanics, 2019
Background and Objective. When radiologists diagnose lung diseases in chest radiography, they can miss some lung nodules overlapped with ribs or clavicles.
Yunbi Liu, Wei Yang, Guangnan She, Liming Zhong, Zhaoqiang Yun, Yang Chen, Ni Zhang, Liwei Hao, Zhentai Lu, Qianjin Feng, Wufan Chen   +10 more
doaj   +1 more source

Classification for Dermoscopy Images Using Convolutional Neural Networks Based on Region Average Pooling

IEEE Access, 2018
In this paper, a novel melanoma classification method based on convolutional neural networks is proposed for dermoscopy images. First a region average pooling (RAPooling) method is introduced which makes feature extraction can focus on the region of ...
Jiawen Yang, Fengying Xie, Haidi Fan, Zhiguo Jiang, Jie Liu   +4 more
doaj   +1 more source

Length-induced large magnetoresistance in polyacene molecular spin valves

Results in Physics, 2021
With the help of first-principles method, an unusual length effect in polyacene molecular spin valves is revealed. It is found that beyond a critical length, the magnitude of tunneling magnetoresistance is significantly enhanced from 10% to 2500 ...
Jiansheng Qi, Yuanyuan Miao, Yangjun Cui, Shuai Qiu, Jinming Zhao, Guangping Zhang, Junfeng Ren, Chuankui Wang, Guichao Hu   +8 more
doaj   +1 more source

Unsupervised delineation of the vessel tree in retinal fundus images [PDF]

, 2015
Retinal imaging has gained particular popularity as it provides an opportunity to diagnose various medical pathologies in a non-invasive way. One of the basic and very important steps in the analysis of such images is the delineation of the vessel tree
Azzopardi, George, Computational Vision and Medical Image Processing : VipIMAGE 2015, Petkov, Nicolai, Strisciuglio, Nicola, Vento, Mario   +4 more
core  

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Development of a Fully Optimized Convolutional Neural Network for Astrocytoma Classification in MRI Using Explainable Artificial Intelligence

Journal of Imaging
Astrocytoma is the most common type of brain glioma and is classified by the World Health Organization into four grades, providing prognostic insights and guiding treatment decisions.
Christos Ch. Andrianos, Spiros A. Kostopoulos, Ioannis K. Kalatzis, Dimitris Th. Glotsos, Pantelis A. Asvestas, Dionisis A. Cavouras, Emmanouil I. Athanasiadis   +6 more
doaj   +1 more source