Results 101 to 110 of about 6,422,664 (364)

Automatic emotional state detection using facial expression dynamic in videos [PDF]

, 2014
In this paper, an automatic emotion detection system is built for a computer or machine to detect the emotional state from facial expressions in human computer communication.
Huang, D, Di Huang, Meng, H, Hongying Meng   +3 more
core   +1 more source

Interpreting the effects of DNA polymerase variants at the structural level

Molecular Oncology, EarlyView.
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi, Karolina Krzesińska, Ludovica Beltrame, Pablo Sánchez‐Izquierdo Besora, Matteo Tiberti, Mef Nilbert, Anna Rohlin, Elena Papaleo   +7 more
wiley   +1 more source

Automatic Detection of Melanoma with Yolo Deep Convolutional Neural Networks

E-Health and Bioengineering Conference, 2019
In the past three years, deep convolutional neural networks (DCNNs) have achieved promising results in detecting skin cancer. However, improving the accuracy and efficiency of the automatic detection of melanoma is still urgent due to the visual ...
Yali Nie, P. Sommella, M. O’nils, C. Liguori, J. Lundgren   +4 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

Circulating tumor cell viability during and after radiotherapy mirrors treatment response in cancer patients

Molecular Oncology, EarlyView.
Radiotherapy (RT) response depends on the DNA repair capacity of tumor and host cells. We show that circulating tumor cell (CTC) counts and apoptosis rates before and after RT predict treatment response and outcome, which can be accessed via easily accessible liquid biopsy approaches. Created in BioRender. Wikman, H.
Yvonne Goy, Jana Löptien, Cornelia Coith, Afroditi Nanou, Katharina Hintelmann, Pinnschmidt Hans, Cordula Petersen, Klaus Pantel, Sabine Riethdorf, Kerstin Borgmann, Harriet Wikman   +10 more
wiley   +1 more source

Flow Enabled Target Capture Halbach‐based magnetic enrichment increases circulating tumor cell capture from blood in metastatic cancer patients

Molecular Oncology, EarlyView.
Pair‐wise comparison of the CellSearch and FETCH enrichment technologies for circulating tumor cells (CTCs) from metastatic breast, prostate, and small cell lung cancer patients shows an increased capture of CTCs using FETCH enrichment. The clinical implementation of circulating tumor cells (CTCs) as a predictive tool for therapy efficacy in the ...
Michiel Stevens, Anouk Mentink, Tom Niessink, Frank Coumans, Leonie Mekenkamp, Ruchi Bansal, Jeroen Hiltermann   +6 more
wiley   +1 more source

Automatic unhulled rice grain crack detection by X-ray imaging [PDF]

, 2007
Crack detection of incoming paddy (unhulled rice grain) is an important step in the rice milling industry, as paddy grains with cracks severely affect the milling yield.
Bal, Satish, Pothula, Anand Kumar
core  

USP29‐regulated noncanonical stabilization of the hypoxia‐inducible factor‐α in aggressive prostate cancer

Molecular Oncology, EarlyView.
We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober, Leire Moreno‐Cugnon, Laura Martínez‐Pérez, Amaia Ercilla, Amaia Zabala‐Letona, Adrián Vicente‐Barrueco, Maider Fagoaga‐Eugui, Saioa Garcia‐Longarte, Blanca Calle‐Ciborro, Encarnación Pérez‐Andrés, Onintza Carlevaris, Sara Pozo, Isabel Mendizabal, Ugo Mayor, Arkaitz Carracedo, Violaine Sée, Edurne Berra   +16 more
wiley   +1 more source

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, Incheol Hwang, Y. Song, Lim Lim, Kim Kim, J. Wi, Su Suk Oh, Mi-Jin Kang   +20 more
semanticscholar   +1 more source

Automatic Detection of Laryngeal Pathology on Sustained Vowels Using Short-Term Cepstral Parameters: Analysis of Performance and Theoretical Justification

, 2008
The majority of speech signal analysis procedures for automatic detection of laryngeal pathologies mainly rely on parameters extracted from time domain processing.
Juan Ignacio Godino-Llorente, Víctor Osma-Ruiz, Sáenz Lechón, Nicolas, Fraile Muñoz, Rubén, Nicolás Sáenz-Lechón, Gómez Vilda, Pedro, Pedro Gómez-Vilda, Godino Llorente, Juan Ignacio, Rubén Fraile, Osma Ruiz, Víctor   +9 more
core   +1 more source