To obtain light ensemble model through clearly explained effective ensemble member selection and finding data representation in various valuable forms are major challenges in medical image ...

Document image classification has a significant difficulty for the retrieval of digital documents and systems management in recent years. The main goal of this study is to investigate the ...

However, existing research largely focuses on single-task modeling, lacking comprehensive solutions that integrate tumor segmentation with classification diagnosis. This study aims to develop a ...

Enhanced breast cancer diagnosis using modified InceptionNet-V3: a deep learning approach for ultrasound image classification Samia Allaoua Chelloug 1* Abduljabbar S. Ba Mahel 2 Rana Alnashwan 1 Ahsan ...

Satellite Image Classification using Deep Learning Comparison of multiple CNN architectures (CNN, VGG16, ResNet34, ResNet50, InceptionV3) for satellite image classification.

This study achieves greater prediction stability and model focus on important visual elements by using CNN architectures such as U-Net and ResNet, which are well-known for their efficacy in medical ...

Article citations More>> Khvostikov, A., Aderghal, K., Benois-Pineau, J., Krylov, A. and Catheline, G. (2018) 3D CNN-Based Classification Using sMRI and MD-DTI Images for Alzheimer Disease Studies.