simurgailab / an-enhanced-tooth-segmentation-in-bitewing-radiographs
This study was published in 2022 in a scientific journal with SCI-Expanded index. The tooth numbering module uses the FDI notation, which is widely used by dentists, to classify and number dental items found as a result of segmentation. The performance of the Mask R–CNN method used has been proven by comparing it with other state-of-the-art meth…
☆12Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for an-enhanced-tooth-segmentation-in-bitewing-radiographs
- The tooth numbering module classifies and numbering dental objects detected as a result of segmentation according to the FDI notation use…☆24Updated 2 years ago
- Dental Caries Classification☆11Updated 6 months ago
- ☆15Updated last month
- ☆12Updated 6 months ago
- Faster R-CNN with Tensorflow Object Detection API for Custom Dataset.☆13Updated 2 years ago
- Logiciel de détection, localisation & segmentation de carries sur des radiographies dentaires.☆31Updated 2 years ago
- The aim of this study is automatic semantic segmentation in one-shot panoramic x-ray image by using deep learning methods with U-Net Mode…☆29Updated 2 years ago
- Implementation of Mask R-CNN architecture, one of the object recognition architectures, on a custom dataset.☆11Updated 2 years ago
- ☆18Updated 4 months ago
- Yolov5 Modelini Kullanarak Özel Nesne Eğitimi ve SAHI Kullanımı☆37Updated 2 years ago
- KerasFuse is a Python library that combines the power of TensorFlow and Keras with various computer vision techniques for medical image a…☆32Updated last year
- Akademik çalışma için okuduğum makalenin özetleri☆15Updated 2 years ago
- Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network☆2Updated last year
- image segmentation with private İstanbul Dataset☆11Updated 2 years ago
- This project uses YOLOv8 to perform tasks like classification, detection, and segmentation in medical images through a user-friendly inte…☆66Updated last year
- This repo includes Glioma Segmentation with Mask R-CNN and U-Net.☆63Updated 4 years ago
- Makine öğrenimi 👨🏫💻, Sinir Ağları 🕸 ve Deep Learning 🧠 üzerine çalışmalarım☆11Updated 4 years ago
- This example demonstrates the use of U-net model for retinal blood vessel segmentation on tensorflow 2.x☆18Updated 3 years ago
- Bu repo SAHI uygulamasını mantığını öğreniyoruz.☆12Updated 2 years ago
- Codes to process and train LIMUC dataset☆26Updated 10 months ago
- This repository contains UNet and ICNet implementations for semantic segmentation of nuclei images, from Kaggle's 2018 Data Science Bowl☆18Updated 5 years ago
- Solving Image Processing Problems with Python☆19Updated 2 years ago
- In this project various dental diseases like caries, periodontics, impacted teeth etc. are detected and localized in panoramic dental x-r…☆26Updated 7 months ago
- Ai powered web app that automatically detects and segments intracranial hemorrhages on brain CT images - Tensorflow.js☆10Updated 4 years ago
- EfficientNets in 3D variant for keras and TF.keras☆53Updated 2 years ago
- Mask R-CNN creates a high-quality segmentation mask in addition to the Faster R-CNN network. In addition to class labels and scores, a se…☆30Updated last year
- Cancer Detection from Microscopic Images by Fine-tuning Pre-trained Models ("Inception") for new class labels☆28Updated 4 years ago
- A Keras implementation of hybrid efficientnet swin transformer model.☆33Updated last year
- Aşağılayıcı Söylemlerin Doğal Dil İşleme İle Tespiti☆22Updated 11 months ago
- Segmentation framework implemented in tensorflow 2 (tf.keras).☆15Updated 2 years ago