research
∙
07/03/2023
Cross-modality Attention Adapter: A Glioma Segmentation Fine-tuning Method for SAM Using Multimodal Brain MR Images
According to the 2021 World Health Organization (WHO) Classification sch...
share
research
∙
06/22/2023
Ladder Fine-tuning approach for SAM integrating complementary network
Recently, foundation models have been introduced demonstrating various t...
research
∙
10/26/2022
Super-Resolution Based Patch-Free 3D Medical Image Segmentation with Self-Supervised Guidance
High resolution (HR) 3D medical image segmentation plays an important ro...
research
∙
08/22/2022
STS: Surround-view Temporal Stereo for Multi-view 3D Detection
Learning accurate depth is essential to multi-view 3D object detection. ...
research
∙
12/16/2020
Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models
Purpose: Pelvic bone segmentation in CT has always been an essential ste...
research
∙
10/16/2020
VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data
Deep learning-based super-resolution (SR) techniques have generally achi...
research
∙
08/27/2020
Unsupervised MRI Super-Resolution using Deep External Learning and Guided Residual Dense Network with Multimodal Image Priors
Deep learning techniques have led to state-of-the-art single image super...
research
∙
06/28/2020
DeepACC:Automate Chromosome Classification based on Metaphase Images using Deep Learning Framework Fused with Prior Knowledge
Chromosome classification is an important but difficult and tedious task...
research
∙
10/11/2019
Orchestrating Development Lifecycle of Machine Learning Based IoT Applications: A Survey
Machine Learning (ML) and Internet of Things (IoT) are complementary adv...
research
∙
10/13/2018
End-to-End Service Level Agreement Specification for IoT Applications
The Internet of Things (IoT) promises to help solve a wide range of issu...
research
∙
05/10/2018
