A skin cancer detection tool which uses a convolutional neural network trained on 20K images officially annotated by healthcare pros and a Flask RESTful API with PostgreSQL as a backend. Frontend to ...

Research shows that CNNs trained on camouflage detection improve brain tumor classification in MRI scans, highlighting the ...

The deep learning techniques are explored to improve the performance of traditional feature-based approaches. Specifically, a novel convolutional neural network (CNN) framework is proposed for time ...

AI models trained on MRI data can now distinguish brain tumors from healthy tissue with high accuracy, nearing human performance.

In a recent article, researchers analyzed defect structures in monolayer graphene and hexagonal boron nitride using STEM imaging and neural network-based analysis, uncovering distinct responses to ion ...

Consequently, the deep features converge to decrease the network generalization. To address this issue, this research employs the ensemble learning of crowd intelligence strategy, which is opposite to ...

A new publication from Opto-Electronic Sciences; DOI   10.29026/oea.2025.240135, discusses how quasi-convolution coding ...

Research from a team of Harvard and Google scientists has revealed never-before-seen details of the human brain’s structure.

Artificial intelligence models are getting better at pinpointing brain tumors – and they’re using a surprising technique ...