Results 81 to 90 of about 301,541 (378)

Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation [PDF]

open access: yesarXiv, 2020
Chest X-ray (CXR) is the most common examination for fast detection of pulmonary abnormalities. Recently, automated algorithms have been developed to classify multiple diseases and abnormalities in CXR scans. However, because of the limited availability of scans containing nodules and the subtle properties of nodules in CXRs, state-of-the-art methods ...
arxiv  

Identification of lung nodules CT scan using YOLOv5 based on convolution neural network [PDF]

open access: yesarXiv, 2022
Purpose: The lung nodules localization in CT scan images is the most difficult task due to the complexity of the arbitrariness of shape, size, and texture of lung nodules. This is a challenge to be faced when coming to developing different solutions to improve detection systems. the deep learning approach showed promising results by using convolutional
arxiv  

Infection and Invasion of Roots by Symbiotic, Nitrogen-Fixing Rhizobia during Nodulation of Temperate Legumes

open access: yesMicrobiology and Molecular Biology Reviews, 2004
SUMMARY Bacteria belonging to the genera Rhizobium, Mesorhizobium, Sinorhizobium, Bradyrhizobium, and Azorhizobium (collectively referred to as rhizobia) grow in the soil as free-living organisms but can also live as nitrogen-fixing symbionts inside root
D. Gage
semanticscholar   +1 more source

A method for measuring spatial resolution based on clinical chest CT sequence images

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study aimed to develop and validate a method for characterizing the spatial resolution of clinical chest computed tomography (CT) sequence images. Methods An algorithm for characterizing spatial resolution based on clinical chest CT sequence images was developed in Matlab (2021b).
Ying Liu   +3 more
wiley   +1 more source

Extracting Thyroid Nodules Characteristics from Ultrasound Reports Using Transformer-based Natural Language Processing Methods [PDF]

open access: yesarXiv, 2023
The ultrasound characteristics of thyroid nodules guide the evaluation of thyroid cancer in patients with thyroid nodules. However, the characteristics of thyroid nodules are often documented in clinical narratives such as ultrasound reports. Previous studies have examined natural language processing (NLP) methods in extracting a limited number of ...
arxiv  

DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule Detection and Classification [PDF]

open access: yesarXiv, 2017
In this work, we present a fully automated lung CT cancer diagnosis system, DeepLung. DeepLung contains two parts, nodule detection and classification. Considering the 3D nature of lung CT data, two 3D networks are designed for the nodule detection and classification respectively.
arxiv  

Skin calcium deposits in primary familial brain calcification: A novel potential biomarker

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
Abstract Objective Primary Familial Brain Calcification (PFBC) is a rare neurodegenerative disorder characterized by small vessel calcifications in the basal ganglia. PFBC is caused by pathogenic variants in different genes and its physiopathology is still largely unknown. Skin vascular calcifications have been detected in single PFBC cases, suggesting
Aron Emmi   +8 more
wiley   +1 more source

Relationship between pulmonary nodule malignancy and surrounding pleurae, airways and vessels: a quantitative study using the public LIDC-IDRI dataset [PDF]

open access: yesarXiv, 2021
To investigate whether the pleurae, airways and vessels surrounding a nodule on non-contrast computed tomography (CT) can discriminate benign and malignant pulmonary nodules. The LIDC-IDRI dataset, one of the largest publicly available CT database, was exploited for study. A total of 1556 nodules from 694 patients were involved in statistical analysis,
arxiv  

The Potential for Extracellular Vesicles in Nanomedicine: A Review of Recent Advancements and Challenges Ahead

open access: yesAdvanced Biology, EarlyView.
Extracellular vesicles (EVs) play a dual role in diagnostics and therapeutics, offering innovative solutions for treating cancer, cardiovascular, neurodegenerative, and orthopedic diseases. This review highlights EVs’ potential to revolutionize personalized medicine through specific applications in disease detection and treatment.
Farbod Ebrahimi   +4 more
wiley   +1 more source

The Bradyrhizobium japonicum noeD Gene: A Negatively Acting, Genotype-Specific Nodulation Gene for Soybean

open access: yesMolecular Plant-Microbe Interactions, 1998
Bradyrhizobium japonicum strain USDA 110 is restricted for nodulation by soybean genotype PI 417566. We previously reported the identification of a USDA 110 Tn5 mutant, strain D4.2–5, that had the ability to overcome nodulation restriction conditioned by
S. M. Lohrke   +11 more
doaj   +1 more source

Home - About - Disclaimer - Privacy