Results 241 to 250 of about 981,607 (293)

A multi-view CNN model to predict resolving of new lung nodules on follow-up low-dose chest CT. [PDF]

Insights Imaging
Wang J, Zhang X, Tang W, van Tuinen M, Vliegenthart R, van Ooijen P.   +5 more
europepmc   +1 more source

Identification and verification of immune and oxidative stress-related diagnostic indicators for malignant lung nodules through WGCNA and machine learning. [PDF]

Sci Rep
An Z, Zeng M, Wang X.
europepmc   +1 more source

An Ulcerated Nodule on the Scalp

JEADV Clinical Practice, EarlyView.
Zainab Asghar, Humoud Al‐Sabah, Atlal Allafi   +2 more
wiley   +1 more source

Enlarging Fingertip Nodule Mimicking a Pyogenic Granuloma in a Man in his 60's

JEADV Clinical Practice, EarlyView.
Avery H. Seward, Jocelyn H. LaRocque, Stephen M. Hughes   +2 more
wiley   +1 more source

A Painful Purpuric Rash in a Febrile Smoker

JEADV Clinical Practice, EarlyView.
Eugerta Dilka, Ina Sotiri, Irda Rrugeja, Monika Fida   +3 more
wiley   +1 more source

Incidental lung nodules

, 2012
openaire   +1 more source

Characterization of lung nodules

2013 21st Signal Processing and Communications Applications Conference (SIU), 2013
Recognition of lung nodules and classification of them as benign and malignent are very important in diagnosis of lung cancer. Present methods on nodule classification generally concentrate on defining nodule as either benign or malignent but do not consider radiographic descriptors that play important role on classification of small-sized lung nodules.
CAN, AHMET BURAK, KAYA, AYDIN
openaire   +3 more sources

Some of the next articles are maybe not open access.

Related searches:

Lung nodules detection and classification

IEEE International Conference on Image Processing 2005, 2005
Image processing techniques and computer aided diagnosis (CAD) systems have proved to be effective for the improvement of radiologists' diagnosis. In this paper an automatic system detecting lung nodules from postero anterior chest radiographs is presented. The system extracts a set of candidate regions by applying to the radiograph three different and
P. Campadelli, E. Casiraghi, G. Valentini   +2 more
openaire   +3 more sources

Simulation of Lung Nodules for Nodule Detection Studies

Investigative Radiology, 1980
Two techniques for simulating lung nodules in nodule detection studies were evaluated. In one technique, radiographs were obtained with plastic beads placed on the surface of a chest phantom to simulate lung nodules. In the second technique, the same plastic beads were radiographed against a uniform background, and their radiographic images were then ...
J A, Sorenson, J A, Nelson, L A, Niklason, M R, Klauber   +3 more
openaire   +2 more sources

The Lung TIME: annotated lung nodule dataset and nodule detection framework

SPIE Proceedings, 2009
ABSTRACT The Lung Test Images from Motol Environment (Lung TIME) is a new publicly available dataset of thoracic CTscans with manually annotated pulmonary nodules. It is largerthan other publicly available datasets. Pulmonarynodules are lesions in the lungs, which may indicate lung cancer.
Martin Dolejsi, Jan Kybic, Michal Polovincak, Stanislav Tuma   +3 more
openaire   +1 more source