Currently, OSU has an expert annotated database of FL images and as mentioned
above the future algorithms will be trained and tested using this database.
However, it will be desirable to have a semi-automatic annotation system to
increase the size of the database as much as possible. In this WP, we will
develop semi-automatic microscopic image annotation algorithms.
We will take advantage of the recent developments in on-line adaptive learning
algorithms [33,34,35] to develop a semi-automatic system. Recently, we developed
an active learning method using the well-known Least Mean Square (LMS) adaptive
filtering framework and successfully applied to wildfire smoke detection .
The adaptive annotation system will be iterative in nature. The system will
provide an initial guess to the expert and it will learn from the actions of the
expert and update the annotated image whenever expert makes a correction or
revision. In the LMS based active learning method weak decision rules covering
an aspect of the annotation strategy are linearly combined and the weights of
individual decision rules are updated according to the decisions of the expert
by calculating the stochastic gradients.
In this WP, we will first try to identify subalgorithms covering an aspect of
the overall decision process of the FL image annotation by a pathologist. We
will then construct an adaptive scheme updating the weights of the subalgorithms
in an iterative manner. We will use both the recently developed LMS based scheme
and other online learning methods, such as Adaboost and the weighted majority
European database and an annotation tool for microscopic images
database of microscopic images.
-Task 5.2: Develop an online adaptive annotation tool for FL images.
21) A database of microscopic images.
22) Annotation tool for microscopic images.
23) Final report on the scientific work carried out in WP5 during the
Dr. Nikolaos Grammalidis, Dr. Kosmas Dimitropoulos, Researcher 3,
-OSU: Dr. Metin N. Gurcan, Olcay Sertel, Jeffrey Prescott
Prof. A. Enis Cetin, Kivanc Kose, Ibrahim Onaran