Short Bio note
Hello, my name is Lazaros Tsochatzidis (or Λάζαρος Τσοχατζίδης) and I am an Electrical and Computer Engineer.
I received my MEng diploma from the polytechnic school of Democritus University of Thrace (DUTH) in 2013. During my studies I have
gotten in touch with various scientific and engineering fields and the ones that got me most excited are the Image Processing and Machine Learning research areas.
Currently, I am working as a Research Assistant at Democritus University of Thrace while I am pursuing a Ph.D. degree in the field of Biomedical Image Processing. My other interests include
the development and involvement in open-source projects related to the Image Processing and Retrieval research areas.
Contact info
- Democritus University of Thrace Campus in Xanthi, Greece
Department of Electrical and Computer Engineering
Building B
- Email: ltsochat ( at ) ee.duth.gr
- Telephone: +302541079577
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Research Projects
CBIR4CAD - Content-based Image Retrieval for Computer-aided Diagnosis
01 March 2013 – 30 October 2015, SINERGASIA, National Fund.
CBIR4CAD aims to deliver improved healthcare services to radiologists for breast cancer detection and diagnosis, through a web accessible CBIR-based CAD scheme for multimodal breast image interpretation. These services are targeted to improve radiologists’ detection and diagnostic accuracy, as well as reproducibility in breast image interpretation. Additionally, the project aims to promote knowledge in the research area of computerized medical image analysis and medical informatics and further contribute in knowledge transfer to industry and the end users through innovative technological developments and their integration and availability in the clinical environment.
Publications
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Development Projects
Golden retriever: a Java based open source image retrieval engine (Undergraduate - Diploma Thesis)
Golden Retriever Image Retrieval Engine (GRire) is an open source light weight Java library developed for Content Based Image Retrieval (CBIR) tasks, employing the Bag of Visual Words (BOVW) model. It provides a complete framework for creating CBIR system including image analysis tools, classiers, weighting schemes etc., for ecient indexing and retrieval procedures. Its eminent feature is its extensibility, achieved through the open source nature of the library as
well as a user-friendly embedded plug-in system.
http://www.grire.net
TsoKaDo: An Image Search Engine Performing Recursive Query Recommendation Based on Visual Information (Undergraduate)
This project aims to tackle the problem of the user’s incapability to describe exactly the image that he seeks by introducing an innovative image search engine called TsoKaDo. Until now the traditional web image search was based only on the comparison between metadata of the webpage and the user’s textual description. In the method proposed, images from various search engines are classified based on visual content and new tags are proposed to the user. Recursively, the results get closer to the user’s desire. The aim of this paper is to present a new way of searching, especially in case with less query generality, giving greater weight in visual content rather than in metadata.
http://tsokado.nonrelevant.net
