Prediction of Glioma Grades Using Deep Learning with Wavelet Radiomic Features

Gliomas are the most common primary brain tumors. They are classified into 4 grades (Grade I–II-III–IV) according to the guidelines of the World Health Organization (WHO).

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Mar 18, 2025

Classification of Diabetic Rat Histopathology Images Using Convolutional Neural Networks

Diabetes mellitus is a common disease worldwide. In progressive diabetes patients, deterioration of kidney histology tissue begins.

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Mar 18, 2025

Predicting 1p/19q chromosomal deletion of brain tumors using machine learning

Advances in molecular and genetic technologies have enabled the study of mutation and molecular changes in gliomas.

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Mar 18, 2025

Classification of hazelnuts according to their quality using deep learning algorithms

Hazelnut is a product with high nutritional and economic value. In maintaining the quality value of hazelnut, the classification process is of great importance.

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Mar 18, 2025

Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT

The aim of the study is 18F-FDG PET/CT imaging by using deep learning method are predictive for pathological complete response pCR after Neoadjuvant chemotherapy (NAC) in locally advanced breast cancer (LABC).

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Mar 18, 2025

An improved pistachio detection approach using YOLO-v8 Deep Learning Models

Pistachios are an agricultural product widely used in the food industry. It is very important that pistachios are presented to the consumer in good quality on time.

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Mar 18, 2025

Deep Learning Based Traffic Sign Recognition Using YOLO Algorithm

Traffic sign detection has attracted a lot of attention in recent years among object recognition applications.

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Mar 18, 2025

Application of various machine learning algorithms in view of predicting the CO2 emissions in the transportation sector

This study applies three different artificial intelligence algorithms (Multi-layer Perceptron (MLP), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)) to estimate CO2 emissions in Türkiye’s transportation sector.

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Mar 18, 2025

Rapid detection of adulteration in pistachio based on deep learning methodologies and affordable system

The development of international trade has facilitated the global distribution of food. Ensuring the safety of food products is a crucial process that spans from production to sale. Mismanagement of this process can pose significant public health risks.

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Mar 18, 2025

Rice Classification and Quality Detection Success with Artificial Intelligence Technologies

Rice is the most consumed and the most traded food in the world, and so it is very important for it to be classified correctly by its qualities.

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Mar 18, 2025

Prediction of greenhouse gas emissions in Türkiye with long short-term memory (LSTM) and 1-dimensional convolutional neural network (1-DCNN) algorithms

It was concluded that the algorithms preferred in this study gave satisfactory results separately for the estimation of GHG emissions released to the atmosphere during electricity production in Türkiye

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Mar 18, 2025

Sex estimation with convolutional neural networks using the patella magnetic resonance image slices

Conducting sex estimation based on bones through morphometric methods increases the need for automatic image analyses, as doing so requires experienced staff and is a time-consuming process. slices of 696 patients (293 males and 403 females) were obtained.

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Mar 18, 2025

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