Results 71 to 80 of about 1,217,238 (259)

Assessment of interobserver concordance in radiomic tools for lung nodule classification, with a focus on BRODERS and SILA

Scientific Reports, 2023
While CT lung cancer screening reduces lung cancer-specific mortality, there are remaining challenges. Radiomic tools promiss to address these challenges, however, they are subject to interobserver variability if semi-automated segmentation techniques ...
Faysal Al-Ghoula, Khushbu Patel, Sam Falde, Srinivasan Rajagopalan, Brian Bartholmai, Fabien Maldonado, Tobias Peikert   +6 more
doaj   +1 more source

Multiplexed Profiling of Individual Extracellular Vesicles Reveals Lung Cancer‐Associated Protein Signatures

Advanced Science, EarlyView.
Cygnus (Cyclic‐imaging gateway to nanovesicles underlying signature) integrates multiplexed single‐EV protein imaging with a practical analysis workflow to examine EV phenotypes at vesicle, subpopulation, and sample scales. ABSTRACT Lung cancer is frequently diagnosed after curative treatment windows have narrowed, creating a need for minimally ...
Mi Hyeon Cho, Yein Chung, Yoonjeong Choi, Baekdong Cha, Jayeon Song, Nuri Oh, Ala Jo, Thomas S. C. Ng, Hyunho Kim, Hyun‐Kyung Woo, Chang Hyun Kim, Cesar M. Castro, Miles A. Miller, Hakho Lee   +13 more
wiley   +1 more source

An Automated Segmentation Method for Lung Parenchyma Image Sequences Based on Fractal Geometry and Convex Hull Algorithm

Applied Sciences, 2018
Statistically solitary pulmonary nodules are about 6% to 17% of juxtapleural nodules. The accurate segmentation of lung parenchyma sequences of juxtapleural nodules is the basis of subsequent pulmonary nodule segmentation and detection. In order to solve
Xiaojiao Xiao, Juanjuan Zhao, Yan Qiang, Hua Wang, Yingze Xiao, Xiaolong Zhang, Yudong Zhang   +6 more
doaj   +1 more source

Defect‐Engineered BiO2‐X Nanosheets Mediate Sono‐Thermomechanical ECM Remodeling for Hepatocellular Carcinoma Immunotherapy

Advanced Science, EarlyView.
Herein, an ultrasound‐responsive BiO2‐X/siFn1 nanoplatform is developed to overcome anti‐PD‐1 resistance in hepatocellular carcinoma. Upon ultrasound irradiation, the platform downregulates fibronectin expression, while its sonothermal effect softens the dense extracellular matrix and activates antitumor immunity in the tumor microenvironment, thereby ...
Huimin Tian, Shen Zhang, Bolin Wu, Yichi Chen, Haitao Shang, Haoyan Tan, Chunyue Wang, Weichen Xu, Huixiong Xu, Haohao Yin, Wen Cheng   +10 more
wiley   +1 more source

Automatic lung nodule detection using multi-scale dot nodule-enhancement filter and weighted support vector machines in chest computed tomography.

PLoS ONE, 2019
A novel CAD scheme for automated lung nodule detection is proposed to assist radiologists with the detection of lung cancer on CT scans. The proposed scheme is composed of four major steps: (1) lung volume segmentation, (2) nodule candidate extraction ...
Yu Gu, Xiaoqi Lu, Baohua Zhang, Ying Zhao, Dahua Yu, Lixin Gao, Guimei Cui, Liang Wu, Tao Zhou   +8 more
doaj   +1 more source

A Joint Detection and Recognition Approach to Lung Cancer Diagnosis From CT Images With Label Uncertainty

IEEE Access, 2020
Automatic lung cancer diagnosis from computer tomography (CT) images requires the detection of nodule location as well as nodule malignancy prediction. This article proposes a joint lung nodule detection and classification network for simultaneous lung ...
Liu Chenyang, Shing-Chow Chan
doaj   +1 more source

Hyper‐Intense Tumor Peripheral Accumulation of Antibody‐Conjugated Iron Oxide Nanoparticles can Enable Breast Cancer Detection by Magnetic Particle Imaging

Advanced Science, EarlyView.
Tumor‐associated inflammation retains antibody‐targeted or non‐specific antibody conjugated nanoparticles within the tumor microenvironment. Magnetic Particle Imaging (MPI) enables non‐invasive detection and differentiation of tumors from other organs, owing to higher nanoparticle retention by inflammatory cells in the tumor periphery.
Preethi Korangath, Hayden Carlton, Theresa Wong, Sean Healy, Toby Sanders, Mason Song, Patrick W. Goodwill, Cordula Grüttner, Kathleen Gabrielson, Robert Ivkov   +9 more
wiley   +1 more source

Artificial intelligence in lung cancer screening: Detection, classification, prediction, and prognosis

Cancer Medicine
Background The exceptional capabilities of artificial intelligence (AI) in extracting image information and processing complex models have led to its recognition across various medical fields.
Wu Quanyang, Huang Yao, Wang Sicong, Qi Linlin, Zhang Zewei, Hou Donghui, Li Hongjia, Zhao Shijun   +7 more
doaj   +1 more source

Automated Lung Nodule Segmentation Using an MH-UNet Deep Learning Framework

ITEGAM-JETIA
One of the leading causes of abnormal deaths globally is lung cancer, and pertaining to the improvement of patient's prognosis depends directly on early identification.
Swathi Gowroju, Devineni Gireesh Kumar, Srinivasulu Arigila, D. Sri Vighna Teja, G. Adithya, N. Lokesh   +5 more
doaj   +1 more source

Detection of Lung Nodules on Medical Images by the Use of Fractal Segmentation [PDF]

International Journal of Interactive Multimedia and Artificial Intelligence, 2017
In the present paper, a method for the detection of malignant and benign tumors on the CT scan images has been proposed. In the proposed method, firstly the area of interest in which the tumor may exist is selected on the original image and by the use of image segmentation and determination of the image’s threshold limit, the tumor’s area is specified ...
Rezaie, Afsaneh Abdollahzadeh, Habiboghli, Ali   +1 more
openaire   +2 more sources