Mehmet Erten

According to our database, Mehmet Erten authored at least 4 papers in 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Swin-LBP: a competitive feature engineering model for urine sediment classification.

Mehmet Erten, Prabal Datta Barua, Ilknur Tuncer, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Ru San Tan, U. Rajendra Acharya

Neural Comput. Appl., October, 2023

Automated Urine Cell Image Classification Model Using Chaotic Mixer Deep Feature Extraction.

Mehmet Erten, Ilknur Tuncer, Prabal Datta Barua, Kubra Yildirim, Sengul Dogan, Turker Tuncer, Ru San Tan, Hamido Fujita, U. Rajendra Acharya

J. Digit. Imaging, August, 2023

Hybrid-Patch-Alex: A new patch division and deep feature extraction-based image classification model to detect COVID-19, heart failure, and other lung conditions using medical images.

Kenan Erdem, Mehmet Ali Kobat, Mehmet Nail Bilen, Yunus Balik, Sevim Alkan, Feyzanur Cavlak, Ahmet Kursad Poyraz, Prabal Datta Barua, Ilknur Tuncer, Sengul Dogan, Mehmet Baygin, Mehmet Erten, Turker Tuncer, Ru San Tan, U. Rajendra Acharya

Int. J. Imaging Syst. Technol., July, 2023

Novel favipiravir pattern-based learning model for automated detection of specific language impairment disorder using vowels.

Prabal Datta Barua, Emrah Aydemir, Sengul Dogan, Mehmet Erten, Feyzi Kaysi, Turker Tuncer, Hamido Fujita, Elizabeth Emma Palmer, U. Rajendra Acharya

Neural Comput. Appl., March, 2023