Assesment of Pain in Mouse Facial Images

Date

2016-11-05

Author

ERAL, Mustafa
ÇAKIR AKTAŞ, Canan
EREN KOÇAK, EMİNE
DALKARA, TURGAY
Halıcı, Uğur

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

97
views

0
downloads

Analysing mouse behavior in medical experiments to determine adverse effects of medical drugs requires special expertise and it is a time consuming tedious task. Automatic scaling of facial pain mimics in mice are important for a fast and objective labeling. Although there exists a manual procedure for scaling mouse facial pain expression, a full automatic method does not exist yet. In this paper, a computational method is proposed for assesment of pain through facial exressions of mouses in experiments where pain paradigms are applied. For this purpose, mouse face regions in videos were extracted manually frame by frame and also their pain scales were labeled by experts in order to construct a data set. Then, this data set were used for training a neural network using deep learning. The results obtained in this preliminary study, where a limited dataset of still images was used, are quite encouraging. Our studies in order to make our results more reliable and to devolope a fully automatic approach for scaling mouse grimace in videos are still going on.

Subject Keywords

Artificial neural networks, Deep learning, Convolutional networks, Mouse grimace scaling

URI

https://hdl.handle.net/11511/53877

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Mouse face tracking using convolutional neural networks Akkaya, Ibrahim Batuhan; Halıcı, Uğur (2018-03-01) Facial expressions of laboratory mice provide important information for pain assessment to explore the effect of drugs being developed for medical purposes. For automatic pain assessment, a mouse face tracker is needed to extract the face regions in videos recorded in pain experiments. However, since the body and face of mice are the same colour and mice move fast, tracking their face is a challenging task. In recent years, with their ability to learn from data, deep learning provides effective solutions fo...
Longitudinal data analysis with statistical and machine learning methods in neuroscience Çakar, Serenay; Gökalp Yavuz, Fulya; Department of Statistics (2022-8) Exploration of brain activity under different conditions has been subject to many neuroscience studies. The recent developments in cognitive studies provide the opportunity to work on neural correlates of specific cognitive processes such as working memory, decision making, response inhibition, perception, and sensation. Brain response studies constitute multidimensional, multilevel or nested data sets formed by different parts of the brain of individuals. Hence, it is of significant importance to implement...
Automated cancer stem cell recognition in H&E stained tissue using convolutional neural networks and color deconvolution Aichinger, Wolfgang; Krappe, Sebastian; ÇETİN, AHMET ENİS; Atalay, Rengül; ÜNER, AYŞEGÜL; Benz, Michaela; Wittenberg, Thomas; Stamminger, Marc; Muenzenmayer, Christian (2017-02-13) The analysis and interpretation of histopathological samples and images is an important discipline in the diagnosis of various diseases, especially cancer. An important factor in prognosis and treatment with the aim of a precision medicine is the determination of so-called cancer stem cells (CSC) which are known for their resistance to chemotherapeutic treatment and involvement in tumor recurrence. Using immunohistochemistry with CSC markers like CD13, CD133 and others is one way to identify CSC. In our wor...
Controlled release of bioactive agents in gene therapy and tissue engineering Keskin, DS; Hasırcı, Vasıf Nejat (2003-01-01) Even though the drugs are effective in the treatment of some diseases, they may be inefficient or incapable of solving the problem in some other diseases. It is known that some diseases have genetic causes and therefore the search for a therapy in these cases is intense. The solutions involving either direct application of a gene or its basic product, proteins, especially the growth factors, are oftencontemplated. Gene therapy is a novel approach to treating diseases based on modifying the expression of a p...
Review of MRI-based Brain Tumor Image Segmentation Using Deep Learning Methods Işın, Ali; Direkoğlu, Cem; Şah, Melike (Elsevier BV; 2016) Brain tumor segmentation is an important task in medical image processing. Early diagnosis of brain tumors plays an important role in improving treatment possibilities and increases the survival rate of the patients. Manual segmentation of the brain tumors for cancer diagnosis, from large amount of MRI images generated in clinical routine, is a difficult and time consuming task. There is a need for automatic brain tumor image segmentation. The purpose of this paper is to provide a review of MRI-based brain ...

Citation Formats

M. ERAL, C. ÇAKIR AKTAŞ, E. EREN KOÇAK, T. DALKARA, and U. Halıcı, “Assesment of Pain in Mouse Facial Images,” 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53877.