Results 101 to 110 of about 113,362 (301)

Crop Organ Segmentation and Disease Identification Based on Weakly Supervised Deep Neural Network

Agronomy, 2019
Object segmentation and classification using the deep convolutional neural network (DCNN) has been widely researched in recent years. On the one hand, DCNN requires large data training sets and precise labeling, which bring about great difficulties in ...
Yang Wu, Lihong Xu
doaj   +1 more source

TGGLines: A Robust Topological Graph Guided Line Segment Detector for Low Quality Binary Images [PDF]

arXiv, 2020
Line segment detection is an essential task in computer vision and image analysis, as it is the critical foundation for advanced tasks such as shape modeling and road lane line detection for autonomous driving. We present a robust topological graph guided approach for line segment detection in low quality binary images (hence, we call it TGGLines). Due
arxiv  

The burden of intracranial atherosclerosis on cerebral small vessel disease: A community cohort study

Annals of Clinical and Translational Neurology, EarlyView.
Abstract Objective Exploring the prevalence and association between intracranial atherosclerosis (ICAS) and cerebral small vessel diseases (CSVD), this study delved beyond the current scope, utilising high‐resolution vessel wall MRI (HRVW‐MRI) to investigate how subtle changes in intracranial atherosclerotic features influence the various burdens of ...
Joseph Amihere Ackah, Heng Du, Wenjie Yang, Huixing Zeng, Jason Tsz Lok Chan, Michael Lung Cheung Lo, Xiangyan Chen   +6 more
wiley   +1 more source

Automatic segmentation with detection of local segmentation failures in cardiac MRI [PDF]

currently under press - Scientific Reports (2020), 2020
Segmentation of cardiac anatomical structures in cardiac magnetic resonance images (CMRI) is a prerequisite for automatic diagnosis and prognosis of cardiovascular diseases. To increase robustness and performance of segmentation methods this study combines automatic segmentation and assessment of segmentation uncertainty in CMRI to detect image regions
arxiv  

Clinical and Imaging Features of Sporadic and Genetic Frontotemporal Lobar Degeneration TDP‐43 A and B

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Certain frontotemporal lobar degeneration subtypes, including TDP‐A and B, can either occur sporadically or in association with specific genetic mutations. It is uncertain whether syndromic or imaging features previously associated with these patient groups are subtype or genotype specific.
Sean Coulborn, Rhiana Schafer, Ashlin R. K. Roy, Andrzej Sokolowski, Noah G. Cryns, Dana Leichter, Argentina Lario Lago, Eliana Marisa Ramos, Yann Cobigo, Salvatore Spina, Lea T. Grinberg, Daniel H. Geschwind, Maria L. Gorno‐Tempini, Joel H. Kramer, Howard J. Rosen, Bruce L. Miller, William W. Seeley, David C. Perry   +17 more
wiley   +1 more source

FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale Context Aggregation and Feature Space Super-resolution [PDF]

, 2020
Zhanpeng Zhang, Kaipeng Zhang
openalex   +3 more sources

Cerebello‐Prefrontal Connectivity Underlying Cognitive Dysfunction in Spinocerebellar Ataxia Type 2

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxia type 2 (SCA2) is a hereditary cerebellar degenerative disorder, with motor and cognitive symptoms. The constellation of cognitive symptoms due to cerebellar degeneration is named cerebellar cognitive affective syndrome (CCAS), which has increasingly been recognized to profoundly impact patients' quality of life;
Ami Kumar, Ruo‐Yah Lai, Zena Fadel, Yicheng Lin, Pia Parekh, Rachel Griep, Ming‐Kai Pan, Sheng‐Han Kuo   +7 more
wiley   +1 more source

Abnormal Synchronization Between Cortical Delta Power and Ripples in Hippocampal Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Discriminating between epileptogenic and physiological ripples in the hippocampus is important for identifying epileptogenic (EP) zones; however, distinguishing these ripples on the basis of their waveforms is difficult. We hypothesized that the nocturnal synchronization of hippocampal ripples and cortical delta power could be used ...
Takamitsu Iwata, Takufumi Yanagisawa, Ryohei Fukuma, Yuji Ikegaya, Satoru Oshino, Naoki Tani, Hui Ming Khoo, Hidenori Sugano, Yasushi Iimura, Hiroharu Suzuki, Haruhiko Kishima   +10 more
wiley   +1 more source

A cognitive deep learning approach for medical image processing

Scientific Reports
In ophthalmic diagnostics, achieving precise segmentation of retinal blood vessels is a critical yet challenging task, primarily due to the complex nature of retinal images.
Hussam N. Fakhouri, Sadi Alawadi, Feras M. Awaysheh, Fahed Alkhabbas, Jamal Zraqou   +4 more
doaj   +1 more source

ANN-based Innovative Segmentation Method for Handwritten text in Assamese [PDF]

K. Bhattacharyya and K. K. Sarma, "ANN-based Innovative Segmentation Method for Handwritten text in Assamese", International Journal of Computer Science Issues, Volume 5, pp9-16, October 2009, 2009
Artificial Neural Network (ANN) s has widely been used for recognition of optically scanned character, which partially emulates human thinking in the domain of the Artificial Intelligence. But prior to recognition, it is necessary to segment the character from the text to sentences, words etc.
arxiv