Developing intelligent medical image modality classification system using deep transfer learning and LDA
M Hassan, S Ali, H Alquhayz, K Safdar - Scientific reports, 2020 - nature.com
Rapid advancement in imaging technology generates an enormous amount of
heterogeneous medical data for disease diagnosis and rehabilitation process. Radiologists …
heterogeneous medical data for disease diagnosis and rehabilitation process. Radiologists …
[PDF][PDF] Overview of the ImageCLEF 2012 medical image retrieval and classiFIcation tasks.
H Müller, AGS de Herrera… - CLEF (online working …, 2012 - researchgate.net
The ninth edition of the ImageCLEF medical image retrieval and classification tasks was
organized in 2012. A subset of the open access collection of PubMed Central was used as …
organized in 2012. A subset of the open access collection of PubMed Central was used as …
Use case oriented medical visual information retrieval & system evaluation
A García Seco de Herrera - 2015 - repository.essex.ac.uk
Large amounts of medical visual data are produced daily in hospitals, while new imaging
techniques continue to emerge. In addition, many images are made available continuously …
techniques continue to emerge. In addition, many images are made available continuously …
Word-Space Approach To Case-Based Retrieval
I Kitanovski, S Loshkovska, I Dimitrovski… - 2013 - repository.ukim.mk
This paper presents a strategy for medical articles retrieval, a process also known as case-
based retrieval. The proposed strategy is a word-space approach and uses Terrier IR search …
based retrieval. The proposed strategy is a word-space approach and uses Terrier IR search …