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Category:All Headlines World & Geopolitics Markets & Economy Tech & AI PoliticsSearch results for: "Automated deep U-Net mode" (30 stories)

Automated segmentation of COVID-19 lesions in CT scans using attention U-net with hybrid loss functions

Lead StoryNatureworld

Jan 11

Automated segmentation of COVID-19 lesions in CT scans using attention U-net with hybrid loss functions

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1maEpNdnpHNUx2cnVoU0tYaElmNzJBZzFLY3FySm9rYW81dVBMVTNnc3hZY1NaaExxSDU0S1p3UER3TEtKRDBIbkhkNDNldG56bnJ3eHRJMkwyMDlSS3F3?oc=5" target="_blank">Automated segmentation of COVID-19 lesions in CT scans using attention U-net with hybrid loss functions</a>&nbsp;&nbsp;Nature

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Search Results for "Automated deep U-Net mode"

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Deep learning-based automatic segmentation and classification for cervical cancer detection using an improved U-Net and ensemble methods

Naturegeneral

Jan 13

Deep learning-based automatic segmentation and classification for cervical cancer detection using an improved U-Net and ensemble methods

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5NR0RmdWgxZVlLTjJTZjZnZEgwcnlkWTZMNHZ4QWtqamlZc2dQVXRiVXk0cGNxcERkaU16bnpJa2pmUU5QZy1UN3lubGNpa2pKMk9kRWF2X0dWVDY0WlY0?oc=5" target="_blank">Deep learning-based automatic segmentation and classification for cervical cancer detection using an improved U-Net and ensemble methods</a>&nbsp;&nbsp;Nature

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Automated segmentation of COVID-19 lesions in CT scans using attention U-net with hybrid loss functions

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Search Results for "Automated deep U-Net mode"

Deep learning-based automatic segmentation and classification for cervical cancer detection using an improved U-Net and ensemble methods

Automated oil spill detection using deep learning and SAR satellite data: a case study of the Lower Congo Basin

3D CSFA-UNet: a unified attention-driven deep learning framework for accurate knee MRI segmentation and osteoarthritis severity classification

Automated kidney stone segmentation from flexible ureteroscopy videos using a U-net model: A preliminary feasibility study

Automated deep U-Net model for ischemic stroke lesion segmentation in the sub-acute phase

Automatic identification and feature analysis of Min-ing-Induced surface cracks using an improved DRA-UNet

Automated segmentation of the fibula from CT imaging using two-stepped deep learning in 3D U-Net architectures

Automated lumbar spine segmentation in MRI using an enhanced U-Net with inception module and dual-output mechanism

An open B-mode ultrasound database for deep learning-based atherosclerotic plaque segmentation

Automated weld defect detection using gated attention and squeeze and excitation fusion U-Net

Bladder cancer segmentation using u-net-based deep-learning - Scientific Reports

Utilizing deep learning via the 3D U-net neural network for the delineation of brain stroke lesions in MRI image

A novel unified Inception-U-Net hybrid gravitational optimization model (UIGO) incorporating automated medical image segmentation and feature selection for liver tumor detection

Deep supervision and atrous inception-based U-Net combining CRF for automatic liver segmentation from CT

DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challenge

Coronary artery stenosis segmentation using U-Net architecture with customised loss function

Deep 3D attention CLSTM U-Net based automated liver segmentation and volumetry for the liver transplantation in abdominal CT volumes

Masked pretraining of U-Net for ultrasound image segmentation

Fully automated deep learning based auto-contouring of liver segments and spleen on contrast-enhanced CT images

A comparison of deep learning U-Net architectures for posterior segment OCT retinal layer segmentation

Optimized U-net model for precise retinal blood vessel segmentation from colour fundus images

A pipeline for automated deep learning liver segmentation (PADLLS) from contrast enhanced CT exams

Liver margin segmentation in abdominal CT images using U-Net and Detectron2: annotated dataset for deep learning models

A Two stage deep learning network for automated femoral segmentation in bilateral lower limb CT scans

Automatic brain-tumor diagnosis using cascaded deep convolutional neural networks with symmetric U-Net and asymmetric residual-blocks

Automated liver and spleen segmentation for MR elastography maps using U-Nets

Convolutional neural network based system for fully automatic FLAIR MRI segmentation in multiple sclerosis diagnosis

A deep learning model based on Mamba for automatic segmentation in cervical cancer brachytherapy

Development and performance evaluation of fully automated deep learning-based models for myocardial segmentation on T1 mapping MRI data