Comparison of data fusion strategies for automated prostate lesion detection using mpMRI correlated with whole mount histology In this work, we compare input level, feature level and decision level data fusion techniques for automatic detection of clinically significant prostate lesions (csPCa). ...
During testing, the AI demonstrated 98% sensitivity and 97% specificity at detectingprostate cancer—significantly higher than previously reported for algorithms working from tissue slides. Also, this is the first algorithm to extend beyond cancer detection, reportinghigh performancefor tumor grading, sizi...
Prostate cancer is one of the most common forms of cancer and the third leading cause of cancer death in North America. As an integrated part of computer-aided detection (CAD) tools, diffusion-weighted magnetic resonance imaging (DWI) has been intensively studied for accurate detection of prostat...
Using AI to assist pathologists in bladder cancer metastases detectiondoi:10.1038/s41585-023-00769-4Maria Chiara MasoneNature Reviews UrologyNature Publishing Group UKNature Reviews Urology
Putting early cancer detection to the test Identifying tumours using blood samples is possible, but researchers are still working out how to validate and deploy multi-cancer tests. Michael Eisenstein Clinical Briefing | 21 February 2025 Cancer evolution could inform targets for personalized anticance...
Using a machine-learning algorithm, the scientists selected nine lipids that are deemed most important for early-stage cancer detection and built the AI-assisted detection model, according to the study. In a lung cancer screening cohort of 1,036 participants undergoing routine CT exams at a hospit...
"Computational methods such as this model, through better training on more varied data and rigorous testing in the clinic, will eventually provide AI models that can help doctors with early detection and screening of cancers," said the paper's lead author, Shamith Samarajiwa. "This will provide...
AI-powered biomarkers from Brainomix's Cancer solution are available now for use in clinical trials, and can support: Efficacy detection, as an adjunct to traditional human-derived measures such as RECIST Blinded Independent Central Review (BICR)with AI-powered objectivity and standardization ...
Using sevenNVIDIA DGX-1 systems, each containing eightTesla V100 GPUs, and thecuDNN-acceleratedPyTorchdeep learning framework, the team trained theirneural networkson the new dataset to detect prostate cancer. Their best model achieved an AUC of 0.98 and a false negative rate of 4.8% on a test...
python deep-learning cnn lung-cancer-detection cnn-model cancer-detection cnn-classification python-tkinter-application machine-learning-project Updated Mar 2, 2024 Python ferasbg / glioAI Star 32 Code Issues Pull requests simple brain tumor detection using DCNNs django deep-learning tenso...