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∙ 03/12/2022

Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation

Federated learning (FL) is a distributed machine learning technique that...

0 Pengfei Guo, et al. ∙

∙ 10/06/2021

Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports

Localization and characterization of diseases like pneumonia are primary...

0 Riddhish Bhalodia, et al. ∙

∙ 04/20/2021

Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation

Federated learning (FL) enables collaborative model training while prese...

0 Yingda Xia, et al. ∙

∙ 04/07/2021

Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis

Visual explanation methods have an important role in the prognosis of th...

13 Ugur Demir, et al. ∙

∙ 11/23/2020

Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan

The recent outbreak of COVID-19 has led to urgent needs for reliable dia...

5 Dong Yang, et al. ∙

∙ 07/31/2020

Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies

Detecting clinically relevant objects in medical images is a challenge d...

20 Leo K. Tam, et al. ∙

∙ 06/22/2015

DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation

Automatic organ segmentation is an important yet challenging problem for...

0 Holger R. Roth, et al. ∙

∙ 07/31/2014

A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans

Organ segmentation is a prerequisite for a computer-aided diagnosis (CAD...

0 Amal Farag, et al. ∙

∙ 06/06/2014

A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations

Automated Lymph Node (LN) detection is an important clinical diagnostic ...

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