The President of the Northern Technical University, Assistant Professor Dr. Alia Abbas Ali Al-Attar, attended the discussion of a master’s thesis at the Mosul Technical College of Engineering, specializing in medical device engineering technology. The thesis was titled:
“Develop a System for Anemia Detection by Application of Deep Learning Models”
Mendeley

The thesis submitted by researcher Saab Khaled Ahmed outlined the design and development of a non-invasive smart medical system capable of detecting anemia cases by analyzing palm images using deep learning and computer vision techniques. The research relied on two main phases: open-source data, namely palm images of children under the age of five from the Palm Anemia Imaging Chamber (PAIC) website, and the construction of a local database for adults using a special device designed by the researcher. The model achieved the best performance on locally collected data, with an accuracy of 99.6% in the training phase and 99.9% in the testing phase. It demonstrated high efficiency in detecting anemia cases in practical application.

The study recommended the following:
Expanding the local database to include larger numbers and age groups.
(Hb)
Linking images to hemoglobin values ​​to provide a more accurate diagnosis of anemia.

Adopting smaller, less expensive cameras to make the system more portable and field-ready.

Studying the possibility of incorporating additional deep learning techniques to improve implementation speed and prediction accuracy.

Developing the system’s software interface to make it more interactive and user-friendly for medical staff.

The discussion committee consisted of:
– Asst. Prof. Dr. Muhannad Luqman Ahmed – Chairman
– Asst. Prof. Dr. Omar Ibrahim Yahya – Member
– Asst. Dr. Sinan Salem Mohammed Sheet – Member
– Asst. Dr. Fadwa Sobhi Mustafa – Member and Supervisor