Results 101 to 110 of about 202,762 (305)

Understanding Further the Phenotypic Spectrum of Central Nervous System Inflammatory Demyelinating Disorders Using Unsupervised Clustering

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Central nervous system (CNS) inflammatory demyelinating syndromes, including multiple sclerosis (MS), aquaporin‐4 antibody–positive neuromyelitis optica spectrum disorder (AQP4 + NMOSD), and myelin oligodendrocyte glycoprotein (MOG) antibody–associated disease (MOGAD), occasionally overlap.
Bade Gulec   +6 more
wiley   +1 more source

Segmentation of histopathological images

open access: yes, 2014
This project aims to segment histopathological images of lung tissues into its constituents such as cells, nuclei and blood vessels so that the status of the patients can be determined.Bachelor of Engineering (Computer ...
Chia, Jason
core  

Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach   +23 more
wiley   +1 more source

A robust adaptive wavelet-based method for classification of meningioma histology images [PDF]

open access: yes, 2009
Intra-class variability in the texture of samples is an important problem in the domain of histological image classification. This issue is inherent to the field due to the high complexity of histology image data.
Qureshi, Hammad A.   +3 more
core  

Enhancing Histopathological Image Classification Performance through Synthetic Data Generation with Generative Adversarial Networks

open access: yesSensors
Breast cancer is the second most common cancer worldwide, primarily affecting women, while histopathological image analysis is one of the possibile methods used to determine tumor malignancy. Regarding image analysis, the application of deep learning has
Jose L. Ruiz-Casado   +2 more
doaj   +1 more source

A Histopathologic and Imaging Study of Verrucous Hemangioma

open access: yesActas Dermo-Sifiliográficas (English Edition), 2008
The terms verrucous hemangioma and angiokeratoma circumscriptum have been used interchangeably in the literature to define clinically similar lesions. From a histologic perspective, however, angiokeratoma circumscriptum is limited to the papillary dermis whereas verrucous hemangioma extends as far as the hypodermis.
A A, Garrido-Ríos   +4 more
openaire   +2 more sources

Human Pegivirus Encephalitis With Brain Detection and Response to Sofosbuvir Ledipasvir

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Human pegivirus (HPgV‐1) has been associated with severe encephalomyelitis in immunocompromised patients. Its neurological spectrum remains poorly defined. We report a slowly progressive encephalitis in a person living with well‐controlled HIV, characterized by white matter abnormalities and inflammatory cerebrospinal fluid (CSF). HPgV RNA was
Antoine Moulignier   +3 more
wiley   +1 more source

Improved Water Strider Algorithm With Convolutional Autoencoder for Lung and Colon Cancer Detection on Histopathological Images

open access: yesIEEE Access
Lung and colon cancers are deadly diseases that can develop concurrently in organs and undesirably affect human life in some special cases. The detection of these cancers from histopathological images poses a complex challenge in medical diagnostics ...
Hamed Alqahtani   +5 more
doaj   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

open access: yesArthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos   +2 more
wiley   +1 more source

Using Sparse Patch Annotation for Tumor Segmentation in Histopathological Images

open access: yes, 2022
Tumor segmentation is a fundamental task in histopathological image analysis. Creating accurate pixel-wise annotations for such segmentation tasks in a fully-supervised training framework requires significant effort.
Duan, Hufei   +11 more
core   +1 more source

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