IEEE

Fully Perturbed Self-Ensemble Framework using Cascaded Parallel CNN-Transformer for Semi-Supervised Medical Image Segmentation

Abstract: Semi-supervised learning (SSL) has achieved remarkable progress in the field of medical image segmentation (MIS), but it still faces two main challenges. First, the consistency learning ...
IEEE

Image Segmentation Used Different Machine and Deep Learning Technology for Breast Cancer Diagnosis

Abstract: This study will examine MetaAI's 2023 Segment Anything Model (SAM) and apply it to medical image segmentation. Second, this study compares SAM's medical picture segmentation to other models.
GitHub

Mask R-CNN Instance Segmentation with OpenCV

This project demonstrates instance segmentation using Mask R-CNN with the OpenCV DNN module. The model is pre-trained on the COCO dataset and can detect and segment multiple object classes in images.
Deadline.com

Steve James, Alex Gibney To Collaborate On CNN Originals ‘Mind vs/+ Machine,’ “Definitive Series On Artificial Intelligence”

EXCLUSIVE: Two of documentary’s biggest talents are joining forces on a CNN Originals series exploring AI, the technology that is rapidly transforming our world. Oscar nominee Steve James is on board ...