Results 101 to 110 of about 719,917 (315)
Molecular Oncology, EarlyView.Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran +16 more
wiley +1 more source
Non Negative Matrix Factorization Clustering Capabilities; Application on Multivariate Image Segmentation [PDF]
Journal of Electrical and Electronics Engineering, 2009 The clustering capabilities of the Non Negative MatrixFactorization algorithm is studied. The basis images are consideredlike the data membership degree to a particular class.A hard clustering algorithm is easily derived based on theseimages.
Cosmin Lazar +3 more
doaj
Systems Science & Control Engineering, 2018 This paper developed a character recombination technology based on dynamic movement primitive (DMP) segmentation using verbal command on a Baxter robot platform. Movements are recorded from a human demonstrator.
Chunxu Li +4 more
doaj +1 more source
ISPRS International Journal of Geo-Information, 2018 A basic feature of modern and smart cities is their energetic sustainability, using clean and renewable energies and, therefore, reducing the carbon emissions, especially in large cities. Solar energy is one of the most important renewable energy sources,
Mario Soilán +3 more
doaj +1 more source
Targeted metabolomics reveals novel diagnostic biomarkers for colorectal cancer
Molecular Oncology, EarlyView.This study employed targeted metabolomic profiling to identify 302 distinct metabolites present in platelet‐rich plasma (PRP), revealing aberrant metabolic profiles amongst individuals diagnosed with colorectal cancer (CRC). Compared to carcinoembryonic antigen (CEA) and cancer antigen 19‐9 (CA199), our metabolite panel showed improved sensitivity ...
Zuojian Hu +7 more
wiley +1 more source
Molecules, 2018 Cryo-electron tomography (cryo-ET) is a powerful method of visualizing the three-dimensional organization of supramolecular complexes, such as the cytoskeleton, in their native cell and tissue contexts. Due to its minimal electron dose and reconstruction
Salim Sazzed +5 more
doaj +1 more source
Quaestiones Geographicae, 2022 This study aims to investigate crop selection and spatial patterns of agricultural fields in a drought-affected region in Isfahan Province, central Iran.
Safdary Rezvan +2 more
doaj +1 more source
Learning Panoptic Segmentation from Instance Contours [PDF]
arXiv, 2020 Panoptic Segmentation aims to provide an understanding of background (stuff) and instances of objects (things) at a pixel level. It combines the separate tasks of semantic segmentation (pixel level classification) and instance segmentation to build a single unified scene understanding task.
arxiv
SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model [PDF]
arXiv, 2023 Segmentation quality assessment (SQA) plays a critical role in the deployment of a medical image based AI system. Users need to be informed/alerted whenever an AI system generates unreliable/incorrect predictions. With the introduction of the Segment Anything Model (SAM), a general foundation segmentation model, new research opportunities emerged in ...
arxiv
Molecular Oncology, EarlyView.Epithelial–mesenchymal transition (EMT) and tumor‐infiltrating lymphocytes (TILs) are associated with early breast cancer response to neoadjuvant chemotherapy (NAC). This study evaluated EMT and TIL shifts, with immunofluorescence and RNA sequencing, at diagnosis and in residual tumors as potential biomarkers associated with treatment response.
Françoise Derouane +16 more
wiley +1 more source