Medical image retrieval: a multimodal approach
Medical imaging is becoming a vital component of war on cancer. Tremendous amounts of
medical image data are captured and recorded in a digital format during cancer care and …
medical image data are captured and recorded in a digital format during cancer care and …
Overlaid arrow detection for labeling regions of interest in biomedical images
A new template-free geometric signature-based technique detects arrow annotations on
biomedical images. Arrow detection is a key first step to region-of-interest (ROI) labeling and …
biomedical images. Arrow detection is a key first step to region-of-interest (ROI) labeling and …
Multimodal biomedical image indexing and retrieval using descriptive text and global feature mapping
The images found within biomedical articles are sources of essential information useful for a
variety of tasks. Due to the rapid growth of biomedical knowledge, image retrieval systems …
variety of tasks. Due to the rapid growth of biomedical knowledge, image retrieval systems …
Interactive cross and multimodal biomedical image retrieval based on automatic region-of-interest (ROI) identification and classification
In biomedical articles, authors often use annotation markers such as arrows, letters, or
symbols overlaid on figures and illustrations to highlight ROIs. These annotations are then …
symbols overlaid on figures and illustrations to highlight ROIs. These annotations are then …
Scalable arrow detection in biomedical images
In this paper, we present a scalable arrow detection technique for biomedical images to
support information retrieval systems under the purview of content-based image retrieval …
support information retrieval systems under the purview of content-based image retrieval …
A robust pointer segmentation in biomedical images toward building a visual ontology for biomedical article retrieval
Pointers (arrows and symbols) are frequently used in biomedical images to highlight specific
image regions of interest (ROIs) that are mentioned in figure captions and/or text discussion …
image regions of interest (ROIs) that are mentioned in figure captions and/or text discussion …
Multi-label concept detection in imaging entities of biomedical literature leveraging deep learning-based classification and object detection
MM Rahman, B Regmi - Artificial Intelligence: Machine Learning …, 2024 - degruyter.com
Scientific articles in the biomedical domain convey important information for clinical purpose,
research, and education, using both text and image modalities. Numerous illustrations in the …
research, and education, using both text and image modalities. Numerous illustrations in the …
Automatic training of phoneme dictionary based on mutual information criterion
S Okawa, T Kobayashi, K Shirai - Proceedings of ICASSP'94 …, 1994 - ieeexplore.ieee.org
Proposes an automatic training mechanism for phoneme recognition using labelless speech
data under the condition that only its orthographical phonemic symbol sequence is given …
data under the condition that only its orthographical phonemic symbol sequence is given …
Ontology-guided organ detection to retrieve web images of disease manifestation: towards the construction of a consumer-based health image library
Background Visual information is a crucial aspect of medical knowledge. Building a
comprehensive medical image base, in the spirit of the Unified Medical Language System …
comprehensive medical image base, in the spirit of the Unified Medical Language System …
Biomedical image representation approach using visualness and spatial information in a concept feature space for interactive region-of-interest-based retrieval
This article presents an approach to biomedical image retrieval by mapping image regions
to local concepts where images are represented in a weighted entropy-based concept …
to local concepts where images are represented in a weighted entropy-based concept …