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Simona Moldovanu

4 papers indexed

crossrefBiomedicines2025-06-18Cited by 1

Auto Machine Learning and Convolutional Neural Network in Diabetes Mellitus Research—The Role of Histopathological Images in Designing and Exploring Experimental Models

Iulian Tătaru, Simona Moldovanu, Oana-Maria Dragostin, Carmen Lidia Chiţescu, Alexandra-Simona Zamfir, Ionut Dragostin, et al.

Histopathological images represent a valuable data source for pathologists, who can provide clinicians with essential landmarks for complex pathologies. The development of sophisticated computational models for histopathological images has received significant attention in recent…

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crossrefMachine Learning and Knowledge Extraction2025-03-25Cited by 8

On Classification of the Human Emotions from Facial Thermal Images: A Case Study Based on Machine Learning

Marius Pavel, Simona Moldovanu, Dorel Aiordachioaie

(1) Background: This paper intends to accomplish a comparative study and analysis regarding the multiclass classification of facial thermal images, i.e., in three classes corresponding to predefined emotional states (neutral, happy and sad). By carrying out a comparative analysis…

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crossrefJournal of Imaging2024-09-20Cited by 18

Convolutional Neural Network–Machine Learning Model: Hybrid Model for Meningioma Tumour and Healthy Brain Classification

Simona Moldovanu, Gigi Tăbăcaru, Marian Barbu

This paper presents a hybrid study of convolutional neural networks (CNNs), machine learning (ML), and transfer learning (TL) in the context of brain magnetic resonance imaging (MRI). The anatomy of the brain is very complex; inside the skull, a brain tumour can form in any part.…

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crossrefInventions2022-06-15Cited by 13

Image Moment-Based Features for Mass Detection in Breast US Images via Machine Learning and Neural Network Classification Models

Iulia-Nela Anghelache Nastase, Simona Moldovanu, Luminita Moraru

Differentiating between malignant and benign masses using machine learning in the recognition of breast ultrasound (BUS) images is a technique with good accuracy and precision, which helps doctors make a correct diagnosis. The method proposed in this paper integrates Hu’s moments…

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