The Process of Building Patient-Specific Medical Devices with 3D Printing

Discover how medical 3D printing creates patient-specific devices and custom prosthetics. Read our guide to clinical ...
Frontiers

AI-Driven Modeling and Integration of Spatial and Single-Cell Omics Data

The rapid advancement of spatial and single-cell omics technologies has revolutionized molecular biosciences by enabling high-resolution profiling of gene ...
IEEE

SDCnet: A Deep Learning Network Model for Road Segmentation Based on CNN and Transformer

Abstract: Road segmentation is a key task in remote sensing semantic segmentation, and the existing deep learning methods still have the problems of insufficient fineness, difficulty in modeling ...
Scientific Research Publishing

From U-Net to Swin-Unet Transformers: The Next-Generation Advances in Brain Tumor Segmentation with Deep Learning ()

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...
IEEE

A Comparative Study of Deep Learning Semantic Segmentation Models for Kidney Segmentation in Ultrasound Images Using the Open Kidney Ultrasound Dataset

Abstract: Accurate segmentation of kidney ultrasound (KUS) images is essential for various diagnostic procedures. However, challenges such as variability in image quality and the need for real-time ...
News Medical

Deep learning method enhances vessel and plaque segmentation in stroke diagnosis

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...
GitHub

Semantic segmentation of satellite imagery to classify land cover types using deep learning models.

This project focuses on land cover segmentation using deep learning models. It compares the performance of DeepLabv3+, UNet++, and SegFormer in classifying land cover types based on 10m satellite ...