‘Deep learning’
Cellular Deepfake Engine: A Dual-GAN Framework Redefining Data Generation for Biomedical Imaging AI
This study presents the Cellular Deepfake Engine, a novel generative AI framework designed to produce high-fidelity, biologically plausible microscopy images across three domains: blood cells, nuclei, and cancerous cells.
Posted by buchanle on Wednesday, June 3rd, 2026 in May 2026, Biomedical images, Blood cell, Deep learning, Generative Adversarial Network, Nuclei
Pneumonia Detection in Chest X-Rays Using Deep Learning
This study applies artificial intelligence to detect pneumonia in chest X-rays.
Posted by buchanle on Tuesday, April 30th, 2024 in May 2024, Artificial Intelligence, Computer Vision, Deep learning, Neural Networks, Pneumonia
A Review and Comparative Analysis of Breast Cancer Segmentation Using U-Net and Its Variants
This study evaluates U-net and its attention-based variants for the breast cancer segmentation using WSI of Data Science Bowl 2018.
Posted by John Lee on Tuesday, May 30th, 2023 in May 2023, breast cancer, Deep learning, Histopathological images
Comparative Analysis of Prostate Cancer Detection Methods in Emulating Ground Truth Accuracy
This study evaluates the performance of prostate cancer detection algorithms and architectures for optimal clinical application.
Posted by John Lee on Tuesday, May 30th, 2023 in May 2023, Deep learning, MRI images, prostate cancer