CVApool: using null-space of CNN weights for the tooth disease classification

Z Can, S Isik, Y Anagun - Neural Computing and Applications, 2024 - Springer
In light of current developments in dental care, dental professionals have increasingly used
deep learning methods to get precise diagnoses of oral problems. Using intraoral X-rays in …

[PDF][PDF] Addressing Overfitting in Dermatological Image Analysis with Bayesian Convolutional Neural Network

MI Zulfa, AS Aryanto, B Abelian… - Jurnal Ilmiah Teknik Elektro …, 2024 - eprints.uad.ac.id
VGG, ResNet, and DenseNet are popular convolutional neural network (CNN) designs for
transfer learning (TL), aiding dermatological image processing, particularly in skin cancer …

Colorizing Multi-Modal Medical Data: An Autoencoder-based Approach for Enhanced Anatomical Information in X-ray Images

B Saini, D Venkatesh, A Ganesh… - … on Pervasive Health …, 2024 - publications.eai.eu
Colourisation is the process of synthesising colours in black and white images without
altering the image's structural content and semantics. The authors explore the concept of …