Results 71 to 80 of about 262,026 (340)

Automatic Semantic Annotation of Music with Harmonic Structure [PDF]

open access: yes, 2007
This paper presents an annotation model for harmonic structure of a piece of music, and a rule system that supports the automatic generation of harmonic annotations.
Weyde, T.
core  

Automatic Annotation of Images from the Practitioner Perspective

open access: yes, 2005
This paper describes an ongoing project which seeks to contribute to a wider understanding of the realities of bridging the semantic gap in visual image retrieval.
Enser, Peter G.B.   +2 more
core   +1 more source

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

open access: yesMolecular 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

Novel Event Detection and Classification for Historical Texts [PDF]

open access: yesComputational Linguistics, 2019
Event processing is an active area of research in the Natural Language Processing community, but resources and automatic systems developed so far have mainly addressed contemporary texts.
Rachele Sprugnoli, Sara Tonelli
doaj   +1 more source

Interobserver Agreement in Automatic Segmentation Annotation of Prostate Magnetic Resonance Imaging

open access: yesBioengineering, 2023
We aimed to compare the performance and interobserver agreement of radiologists manually segmenting images or those assisted by automatic segmentation. We further aimed to reduce interobserver variability and improve the consistency of radiomics features.
Liang Jin   +8 more
doaj   +1 more source

GeneAnnotator: A Semi-automatic Annotation Tool for Visual Scene Graph [PDF]

open access: yesarXiv, 2021
In this manuscript, we introduce a semi-automatic scene graph annotation tool for images, the GeneAnnotator. This software allows human annotators to describe the existing relationships between participators in the visual scene in the form of directed graphs, hence enabling the learning and reasoning on visual relationships, e.g., image captioning, VQA
arxiv  

Taking the bite out of automated naming of characters in TV video

open access: yes, 2009
We investigate the problem of automatically labelling appearances of characters in TV or film material with their names. This is tremendously challenging due to the huge variation in imaged appearance of each character and the weakness and ambiguity of ...
Everingham, M., Sivic, J., Zisserman, A.
core   +1 more source

Integration of single‐cell and bulk RNA‐sequencing data reveals the prognostic potential of epithelial gene markers for prostate cancer

open access: yesMolecular Oncology, EarlyView.
Prostate cancer is a leading malignancy with significant clinical heterogeneity in men. An 11‐gene signature derived from dysregulated epithelial cell markers effectively predicted biochemical recurrence‐free survival in patients who underwent radical surgery or radiotherapy.
Zhuofan Mou, Lorna W. Harries
wiley   +1 more source

Efficient video annotation with visual interpolation and frame selection guidance [PDF]

open access: yesarXiv, 2020
We introduce a unified framework for generic video annotation with bounding boxes. Video annotation is a longstanding problem, as it is a tedious and time-consuming process. We tackle two important challenges of video annotation: (1) automatic temporal interpolation and extrapolation of bounding boxes provided by a human annotator on a subset of all ...
arxiv  

Peripheral blood leukocyte signatures as biomarkers in relapsed ovarian cancer patients receiving combined anti‐CD73/anti‐PD‐L1 immunotherapy in arm A of the NSGO‐OV‐UMB1/ENGOT‐OV30 trial

open access: yesMolecular Oncology, EarlyView.
Using mass cytometry, we analyzed serial blood samples from patients with relapsed epithelial ovarian cancer (EOC) treated with oleclumab–durvalumab combination immunotherapy in the NSGO‐OV‐UMB1/ENGOT‐OV30 trial. Our analysis identified potential predictive, monitoring, and response biomarkers detectable through liquid biopsy. These findings facilitate
Luka Tandaric   +11 more
wiley   +1 more source

Home - About - Disclaimer - Privacy