Results 61 to 70 of about 678,145 (379)

Content Based Image Retrieval for Unlabelled Images [PDF]

open access: yesIOSR Journal of Computer Engineering, 2013
Recently, content-based image retrieval has become hot topic and the techniques of content-based image retrieval have been achieved good development. Content-based image retrieval systems were introduced to address the problems associated with text-based image retrieval.
Rikin Thakkar, Ompriya Kale
openaire   +1 more source

Flow‐based immunomagnetic enrichment of circulating tumor cells from diagnostic leukapheresis product

open access: yesMolecular Oncology, EarlyView.
The number of circulating tumor cells obtained from prostate cancer patients was increased approximately 5‐fold compared to regular CellSearch when processing 2 mL diagnostic leukapheresis material aliquots and increased by 44‐fold when processing 20 mL DLA aliquots using the flow enrichment target capture Halbach‐array.
Michiel Stevens   +8 more
wiley   +1 more source

Towards Content-based Pixel Retrieval in Revisited Oxford and Paris [PDF]

open access: yesarXiv, 2023
This paper introduces the first two pixel retrieval benchmarks. Pixel retrieval is segmented instance retrieval. Like semantic segmentation extends classification to the pixel level, pixel retrieval is an extension of image retrieval and offers information about which pixels are related to the query object.
arxiv  

Unlocking the potential of tumor‐derived DNA in urine for cancer detection: methodological challenges and opportunities

open access: yesMolecular Oncology, EarlyView.
Urine is a rich source of biomarkers for cancer detection. Tumor‐derived material is released into the bloodstream and transported to the urine. Urine can easily be collected from individuals, allowing non‐invasive cancer detection. This review discusses the rationale behind urine‐based cancer detection and its potential for cancer diagnostics ...
Birgit M. M. Wever   +1 more
wiley   +1 more source

Probabilistic Compositional Embeddings for Multimodal Image Retrieval [PDF]

open access: yesarXiv, 2022
Existing works in image retrieval often consider retrieving images with one or two query inputs, which do not generalize to multiple queries. In this work, we investigate a more challenging scenario for composing multiple multimodal queries in image retrieval.
arxiv  

Identification of functional and diverse circulating cancer‐associated fibroblasts in metastatic castration‐naïve prostate cancer patients

open access: yesMolecular Oncology, EarlyView.
Cancer‐associated fibroblasts (CAFs) promote cancer growth, invasion (metastasis), and drug resistance. Here, we identified functional and diverse circulating CAFs (cCAFs) in patients with metastatic prostate cancer (mPCa). cCAFs were found in higher numbers and were functional and diverse in mPCa patients versus healthy individuals, suggesting their ...
Richell Booijink   +6 more
wiley   +1 more source

Combined global and local semantic feature–based image retrieval analysis with interactive feedback

open access: yesMeasurement + Control, 2020
Nowadays, user expects image retrieval systems using a large database as an active research area for the investigators. Generally, content-based image retrieval system retrieves the images based on the low-level features, high-level features, or the ...
A Anandh, K Mala, R Suresh Babu
doaj   +1 more source

Content-based Image Retrieval and the Semantic Gap in the Deep Learning Era [PDF]

open access: yesarXiv, 2020
Content-based image retrieval has seen astonishing progress over the past decade, especially for the task of retrieving images of the same object that is depicted in the query image. This scenario is called instance or object retrieval and requires matching fine-grained visual patterns between images.
arxiv  

RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval [PDF]

open access: yesarXiv, 2022
Recent research works have shown that image retrieval models are vulnerable to adversarial attacks, where slightly modified test inputs could lead to problematic retrieval results. In this paper, we aim to design a provably robust image retrieval model which keeps the most important evaluation metric Recall@1 invariant to adversarial perturbation.
arxiv  

Mobile Content Based Image Retrieval Architectures [PDF]

open access: yes, 2017
Mobile device features such as camera and other sensors are evolving rapidly nowadays. Supported by a reliable communications network, it raises new methods in information retrieval.
Rahman, Arif   +2 more
core   +2 more sources

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