Frontiers

Advancing Deep Learning Frameworks for Enhanced Cervical Cancer Diagnosis, Staging and Treatment

Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
IEEE

Comparative Study of Deep Learning Architectures for Pneumonia Diagnosis from Chest X-Ray Images

Abstract: This paper presents an end-to-end pneumonia diagnosing method from CXR images. We investigate the effectiveness of feature extraction using deep learning models, namely ResNet50, ViT, and ...
IEEE

Hybrid Feature Extraction and Deep Learning Framework for Power Transformer Fault Classification: A Real-World Case Study

Abstract: Reliable fault diagnosis in power transformers is paramount for ensuring grid stability and safeguarding critical assets. This paper proposes a novel deep learning-based diagnostic framework ...