SerdarHELLI's repositories
Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net
The aim of this study is automatic semantic segmentation in one-shot panoramic x-ray image by using deep learning method with U-Net Model and binary image analysis in order to provide diagnostic information for the management of dental disorders, diseases, and conditions.
MRZ_Passport_Reader_From_Image
The of this study are to detect and recognize MRZ ID from one-shot passport images with Tesseract
The-Classification-of-Thyroid-Tumors-on-UltraSound-Images-using-Deep-Learning-Methods
The Basic Classification
latent-diffusion_teeth_sub_repo
High-Resolution Image Synthesis with Latent Diffusion Models
SerdarHelli.github.io
Personal Web Page
SHORT-TERM-FORCASTING-COVID-19-IN-TURKEY
SHORT-TERM-FORECASTING-COVID-19-IN-TURKEY BY USING LSTM WITH TO COMPARE ARIMA, HWAAS, PROPHET The authors of this article are SERDAR HELLİ ,ÇAĞKAN DEMİRCİ,ONUR ÇOBAN ,and ANDAÇ HAMAMCI.
diffusion-point-cloud_teeth
:thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
Knee-Merchant-Landmark-Detection
Measurement of Merchant Angles is a fully automated method to measure Patellar Congruence Angle and Tilt Angle on Merchant Knee radiographs, employing CNN landmark localizers
peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.