Results 91 to 100 of about 6,515,077 (343)

A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography [PDF]

IEEE Transactions on Medical Imaging, 2018
Various types of atherosclerotic plaque and varying grades of stenosis could lead to different management of patients with a coronary artery disease. Therefore, it is crucial to detect and classify the type of coronary artery plaque, as well as to detect
M. Zreik, R. V. van Hamersvelt, J. Wolterink, T. Leiner, M. Viergever, I. Išgum   +5 more
semanticscholar   +1 more source

Phenotypic and genotypic characterization of single circulating tumor cells in the follow‐up of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Single circulating tumor cells (sCTCs) from high‐grade serous ovarian cancer patients were enriched, imaged, and genomically profiled using WGA and NGS at different time points during treatment. sCTCs revealed enrichment of alterations in Chromosomes 2, 7, and 12 as well as persistent or emerging oncogenic CNAs, supporting sCTC identity.
Carolin Salmon, Rui P. L. Neves, Nikolas H. Stoecklein, Sven‐Thorsten Liffers, Jens Siveke, Jan D. Kuhlmann, Pauline Wimberger, Paul Buderath, Rainer Kimmig, Sabine Kasimir‐Bauer   +9 more
wiley   +1 more source

Automatic Detection of Large‐Scale Traveling Ionospheric Disturbances Using GNSS Data and Image Processing Techniques

Space Weather
Large‐scale traveling ionospheric disturbances (LSTIDs) are wave‐like structures propagating through the ionosphere from auroral to lower latitudes, affecting radar‐based technologies and satellite navigation.
Marco Guerra, Claudio Cesaroni, Nicola Fiorentino, Federico Tosone, Vincenzo Ventriglia, Emanuele Pica, Elvira Astafyeva, Boris Maletckii, Luca Spogli   +8 more
doaj   +1 more source

Automated detection of diabetic retinopathy lesions in ultra-widefield fundus images using an attention-augmented YOLOv8 framework

Frontiers in Cell and Developmental Biology
ObjectiveTo enhance the automatic detection precision of diabetic retinopathy (DR) lesions, this study introduces an improved YOLOv8 model specifically designed for the precise identification of DR lesions.MethodThis study integrated two attention ...
Lei-Si Hu, Jie Wang, Heng-Ming Zhang, Hai-Yu Huang   +3 more
doaj   +1 more source

Automatic bio-sample bacteria detection system [PDF]

, 1971
Electromechanical device analyzes urine specimens in 15 minutes and processes one sample per minute. Instrument utilizes bioluminescent reaction between luciferase-luciferin mixture and adenosine triphosphate (ATP) to determine number of bacteria present
Chappelle, E. W., Colburn, M., Kelbaugh, B. N., Picciolo, G. L.   +3 more
core   +1 more source

Automatic detection of pain intensity [PDF]

Proceedings of the 14th ACM international conference on Multimodal interaction, 2012
Previous efforts suggest that occurrence of pain can be detected from the face. Can intensity of pain be detected as well? The Prkachin and Solomon Pain Intensity (PSPI) metric was used to classify four levels of pain intensity (none, trace, weak, and strong) in 25 participants with previous shoulder injury (McMaster-UNBC Pain Archive).
Zakia, Hammal, Jeffrey F, Cohn
openaire   +2 more sources

TRAIL‐PEG‐Apt‐PLGA nanosystem as an aptamer‐targeted drug delivery system potential for triple‐negative breast cancer therapy using in vivo mouse model

Molecular Oncology, EarlyView.
Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat, Aslihan Kucuk, Omer Erdogan, Samed Ozer, Bensu Kozan, Tugba Cuceli, Erkan Gumus, Evrim Cevik, Ozge Cevik   +8 more
wiley   +1 more source

Automatic Detection of Egg Shell Cracks [PDF]

, 1998
The challenge was to find a reliable, non-intrusive means of detecting cracks in eggs. Intensity data from eggs were collected by VisionSmart for the group to analyse. Given the short time period three main questions were addressed. 1) Is there a feature
Kuske, Rachel, Lyder, David, Samuel, Jonathan, Soteros, Chris, Wolfe, David   +4 more
core  

Development and Validation of a Deep Learning–based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs

Clinical Infectious Diseases, 2018
Background Detection of active pulmonary tuberculosis on chest radiographs (CRs) is critical for the diagnosis and screening of tuberculosis. An automated system may help streamline the tuberculosis screening process and improve diagnostic performance ...
Eui Jin Hwang, Sunggyun Park, K. Jin, Jung Im Kim, So Young Choi, Jong Hyuk Lee, J. Goo, Jaehong Aum, J. Yim, C. Park, Dong Hyeon Woo Choi In Pyung Yong Sub Lim Kim Jae Yeon Kim Woo Choi Hwang Song Lim Kim Wi Oh Kang, Dong Hyeon Kim, Woo Woo, C. Choi, I. Hwang, Y. Song, Lim Lim, K. Kim, J. Wi, Su Suk Oh, Mi-Jin Kang   +20 more
semanticscholar   +1 more source

Automatic Detection of Key Innovations, Rate Shifts, and Diversity-Dependence on Phylogenetic Trees [PDF]

PLoS ONE, 2014
A number of methods have been developed to infer differential rates of species diversification through time and among clades using time-calibrated phylogenetic trees.
D. Rabosky
semanticscholar   +1 more source