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.

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

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

Integrating quantum circuits in 3D CNNs, this research improves blood flow velocity prediction with LSCI, addressing ...

A unique combination of explainable AI and repurposing animal camouflage detection algorithms can identify human brain cancer ...

A paper titled "Deep Learning and Transfer Learning for Brain Tumor Detection and Classification" published in Biology ...

Brain tumors could soon be detected by robots, according to a new study. Artificial intelligence (AI) models can be trained ...

Federal funding for cognitive research in the late 1970s and early 1980s unexpectedly led to significant advancements in ...

Machine learning techniques have been trained to recognize the distinct sound of safety valve releases, offering an early ...