Results 11 to 20 of about 2,753,246 (237)

A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration [PDF]

, 2018
Image registration, the process of aligning two or more images, is the core technique of many (semi-)automatic medical image analysis tasks. Recent studies have shown that deep learning methods, notably convolutional neural networks (ConvNets), can be ...
Berendsen, Floris F., de Vos, Bob D., Isgum, Ivana, Sokooti, Hessam, Staring, Marius, Viergever, Max A.   +5 more
core   +5 more sources

EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification, and Detection Method Evaluation

Frontiers in Microbiology, 2022
Environmental microorganisms (EMs) are ubiquitous around us and have an important impact on the survival and development of human society. However, the high standards and strict requirements for the preparation of environmental microorganism (EM) data ...
Peng Zhao, Chen Li, Md Mamunur Rahaman, Md Mamunur Rahaman, Hao Xu, Pingli Ma, Hechen Yang, Hongzan Sun, Tao Jiang, Ning Xu, Marcin Grzegorzek   +10 more
doaj   +1 more source

Robust and Imperceptible Watermarking on Medical Images using Coefficient Pair Modification

International Islamic University Malaysia Engineering Journal, 2023
Sensitive data including medical images and electronic patient records (EPR) have potential value in the era of big data and telemedicine applications.
Ledya Novamizanti, Andriyan Bayu Suksmono, Donny Danudirdjo, Gelar Budiman   +3 more
doaj   +1 more source

Mn doped Prussian blue nanoparticles for T1/T2 MR imaging, PA imaging and Fenton reaction enhanced mild temperature photothermal therapy of tumor

Journal of Nanobiotechnology, 2022
Background Combining the multimodal imaging and synergistic treatment in one platform can enhance the therapeutic efficacy and diagnosis accuracy. Results In this contribution, innovative Mn-doped Prussian blue nanoparticles (MnPB NPs) were prepared via ...
Quan Tao, Genghan He, Sheng Ye, Di Zhang, Zhide Zhang, Li Qi, Ruiyuan Liu   +6 more
doaj   +1 more source

Cervical Histopathology Image Classification Using Multilayer Hidden Conditional Random Fields and Weakly Supervised Learning

IEEE Access, 2019
In this paper, a novel multilayer hidden conditional random fields (MHCRFs)-based cervical histopathology image classification (CHIC) model is proposed to classify well, moderate and poorly differentiation stages of cervical cancer using a weakly ...
Chen Li, Hao Chen, Le Zhang, Ning Xu, Dan Xue, Zhijie Hu, He Ma, Hongzan Sun   +7 more
doaj   +1 more source

Automated Disease Detection in Gastroscopy Videos Using Convolutional Neural Networks

Frontiers in Medicine, 2022
A large percentage of the world's population is affected by gastric diseases ranging from erosion and ulcer to serious ailments such as gastric cancer, which is mainly caused by Helicobacter pylori(H.pylori) infection.
Chenxi Zhang, Zinan Xiong, Shuijiao Chen, Alex Ding, Yu Cao, Benyuan Liu, Xiaowei Liu   +6 more
doaj   +1 more source

Clinical and MRI Features of Tumors of Septum Pellucidum

Zhongliu Fangzhi Yanjiu, 2018
Objective To investigate the clinical and magnetic resonance imaging (MRI) features of the tumors of septum pellucidum. Methods We analyzed retrospectively the clinical data of 45 patients with the tumors of septum pellucidum confirmed by operation and ...
HAO Ni'na, JIN Song, HAN Tong, LI Li, CUI Shimin   +4 more
doaj   +1 more source

Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem

European Radiology Experimental, 2020
Background Automated segmentation of anatomical structures is a crucial step in image analysis. For lung segmentation in computed tomography, a variety of approaches exists, involving sophisticated pipelines trained and validated on different datasets ...
Johannes Hofmanninger, Forian Prayer, Jeanny Pan, Sebastian Röhrich, Helmut Prosch, Georg Langs   +5 more
doaj   +1 more source

Evaluating Modelling Approaches for Medical Image Annotations [PDF]

, 2010
Information system designers face many challenges with regards to selecting appropriate semantic technologies and deciding on a modeling approach for their system.
Bijan Parsia, Jasmin Opitz, Ulrike Sattler   +2 more
core   +5 more sources

A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential

IEEE Access, 2019
Microorganisms play a great role in ecosystem, wastewater treatment, monitoring of environmental changes, and decomposition of waste materials. However, some of them are harmful to humans and animals such as tuberculosis bacteria and plasmodium.
Frank Kulwa, Chen Li, Xin Zhao, Bencheng Cai, Ning Xu, Shouliang Qi, Shuo Chen, Yueyang Teng   +7 more
doaj   +1 more source