Results 11 to 20 of about 2,775,880 (287)

An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification

IEEE Access, 2020
In recent years, researches are concentrating on the effectiveness of Transfer Learning (TL) and Ensemble Learning (EL) techniques in cervical histopathology image analysis.
Dan Xue, Xiaomin Zhou, Chen Li, Yudong Yao, Md Mamunur Rahaman, Jinghua Zhang, Hao Chen, Jinpeng Zhang, Shouliang Qi, Hongzan Sun   +9 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

Medical Image Data and Datasets in the Era of Machine Learning-Whitepaper from the 2016 C-MIMI Meeting Dataset Session. [PDF]

, 2017
At the first annual Conference on Machine Intelligence in Medical Imaging (C-MIMI), held in September 2016, a conference session on medical image data and datasets for machine learning identified multiple issues.
Geis, J Raymond, Kohli, Marc D, Summers, Ronald M   +2 more
core   +1 more source

DRINet for medical image segmentation [PDF]

, 2018
Convolutional neural networks (CNNs) have revolutionized medical image analysis over the past few years. The UNet architecture is one of the most well-known CNN architectures for semantic segmentation and has achieved remarkable successes in many ...
Bentley, P, Chen, L, Fujiwara, M, Misawa, K, Mori, K, Rueckert, D   +5 more
core   +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

Medical imaging [PDF]

Postgraduate Medical Journal, 1991
Summary and conclusionsThere is now a wide choice of medical imaging to show both focal and diffuse pathologies in various organs. Conventional radiology with plain films, fluoroscopy and contrast medium have many advantages, being readily available with low-cost apparatus and a familiarity that almost leads to contempt. The use of plain films in chest
openaire   +2 more sources

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