Results 31 to 40 of about 492,068 (301)

A SURVEY OF MEDICAL IMAGE PROCESSING TOOLS

International Journal of Software Engineering and Computer Systems, 2015
A precise analysis of medical image is an important stage in the contouring phase throughout radiotherapy preparation. Medical images are mostly used as radiographic techniques in diagnosis, clinical studies and treatment planning‥ Medical image processing tool are also similarly as important.
Lay-Khoon Lee, Siau-Chuin Liew
openaire   +1 more source

Viewpoints on Medical Image Processing: From Science to Application. [PDF]

Curr Med Imaging Rev, 2013
S.79-88Medical image processing provides core innovation for medical imaging. This paper is focused on recent developments from science to applications analyzing the past fifteen years of history of the proceedings of the German annual meeting on medical
Deserno Né Lehmann TM, Handels H, Maier-Hein Né Fritzsche KH, Mersmann S, Palm C, Tolxdorff T, Wagenknecht G, Wittenberg T.   +7 more
europepmc   +2 more sources

Semi-MsST-GAN: A Semi-Supervised Segmentation Method for Corneal Ulcer Segmentation in Slit-Lamp Images

Frontiers in Neuroscience, 2022
Corneal ulcer is a common leading cause of corneal blindness. It is difficult to accurately segment corneal ulcers due to the following problems: large differences in the pathological shapes between point-flaky and flaky corneal ulcers, blurred boundary,
Tingting Wang, Meng Wang, Weifang Zhu, Lianyu Wang, Zhongyue Chen, Yuanyuan Peng, Fei Shi, Yi Zhou, Chenpu Yao, Xinjian Chen, Xinjian Chen   +10 more
doaj   +1 more source

Medical image enhancement using threshold decomposition driven adaptive morphological filter [PDF]

, 2008
One of the most common degradations in medical images is their poor contrast quality. This suggests the use of contrast enhancement methods as an attempt to modify the intensity distribution of the image.
Mahmoud, Tarek A., Tarek A. Mahmoud, Mahmoud, Tarek, Stephen Marshall, Marshall, Stephen   +4 more
core   +1 more source

Bone Suppression of Chest Radiographs With Cascaded Convolutional Networks in Wavelet Domain

IEEE Access, 2019
Bone suppression of chest radiographs (CXRs) is potentially useful for diagnosing lung diseases for radiologists and computer–aided diagnosis.
Yingyin Chen, Xiaofang Gou, Xiuxia Feng, Yunbi Liu, Genggeng Qin, Qianjin Feng, Wei Yang, Wufan Chen   +7 more
doaj   +1 more source

AFENet: Attention Fusion Enhancement Network for Optic Disc Segmentation of Premature Infants

Frontiers in Neuroscience, 2022
Retinopathy of prematurity and ischemic brain injury resulting in periventricular white matter damage are the main causes of visual impairment in premature infants.
Yuanyuan Peng, Weifang Zhu, Zhongyue Chen, Fei Shi, Meng Wang, Yi Zhou, Lianyu Wang, Yuhe Shen, Daoman Xiang, Feng Chen, Xinjian Chen, Xinjian Chen   +11 more
doaj   +1 more source

Generalizing the Evaluation of Medical Image Processing Tools by Use of Gabor Patterns

, 2022
S.331-335Objective: Tools for medical image processing are usually evaluated by observers with radiological experience and with complex tasks. For easing evaluation of filtering and enhancement tools, the observer's task can be generalized.
Klein, J., Strasburger, H., Apelt, D., Preim, B., Rascher-Friesenhausen, R.   +4 more
core   +1 more source

Improved Liver R2* Mapping by Averaging Decay Curves

Scientific Reports, 2017
Liver R2* mapping is often degraded by the low signal-to-noise ratio (SNR) especially in the presence of severe iron. This study aims to improve liver R2* mapping at low SNRs by averaging decay curves before the process of curve-fitting.
Xinyuan Zhang, Jie Peng, Changqing Wang, Yanqiu Feng, Qianjin Feng, Xinzhong Li, Wufan Chen, Taigang He   +7 more
doaj   +1 more source

Medical Image Processing

Gomal Journal of Medical Sciences, 2004
Mohammad Asmat Ullah Khan
doaj   +1 more source

Medical imaging analysis with artificial neural networks

, 2010
Given that neural networks have been widely reported in the research community of medical imaging, we provide a focused literature survey on recent neural network developments in computer-aided diagnosis, medical image segmentation and edge detection ...
J. Ren, Jiang, J, Ren, J, Jiang, J., Trundle, P, P. Trundle, Ren, Jinchang, J. Jiang, Trundle, P.   +8 more
core   +1 more source