IEEE

Optimization and Benchmarking of Image Segmentation for Improved Landmark Detection in Lower Limb X-Rays and Accurate Coronal Plane Alignment of the Knee Classification

Abstract: Recent studies have explored image segmentation for landmark detection in computer vision and medical imaging of the lower limb, showing promising results. However, the proposed ...
IEEE

Nnmamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model

Abstract: In biomedical image analysis, developing architectures that effectively capture long-range dependencies is crucial. Traditional Convolutional Neural Networks (CNNs) are constrained by their ...
BioSpace

Landmark Nature Health Study Demonstrates the Effectiveness of DeepHealth’s Novel AI-Powered Breast Cancer Detection Workflow

Largest real-world analysis of AI-driven breast cancer screening in U.S. history 1 demonstrates increased cancer detection rate with consistent benefits across patient populations LOS ANGELES and ...
GitHub

LampMark: Proactive Deepfake Detection via Training-Free Landmark Perceptual Watermarks

LampMark is trained using CelebA-HQ and tested on CelebA-HQ and LFW. We do not own the datasets, and they can be downloaded from the official webpages. After splitting the image data following the ...
GitHub

Co-DETR (Detection Transformer) compiled from PyTorch to TensorRT

This repository presents a refactored implementation of the open-mmlab/mmdetection Co-DETR object detection neural network architecture to enable export and compilation from Pytorch to NVIDIA's ...