Search Results

CPPE-5: Medical Personal Protective Equipment Dataset

2 code implementations15 Dec 2021

The image collection for this dataset focusing on: obtaining as many non-iconic images as possible and making sure all the images are real-life images unlike other existing datasets in this area.

Object Detection

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

25 code implementations18 Jul 2018

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

Image Segmentation Semantic Segmentation +2

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

14 code implementations8 Feb 2021

Medical image segmentation is an essential prerequisite for developing healthcare systems, especially for disease diagnosis and treatment planning.

Cardiac Segmentation Image Segmentation +1

Querying Across Genres for Medical Claims in News

1 code implementation EMNLP 2020

We present a query-based biomedical information retrieval task across two vastly different genres {--} newswire and research literature {--} where the goal is to find the research publication that supports the primary claim made in a health-related news article.

Biomedical Information Retrieval Information Retrieval +2

UNETR: Transformers for 3D Medical Image Segmentation

8 code implementations18 Mar 2021

Inspired by the recent success of transformers for Natural Language Processing (NLP) in long-range sequence learning, we reformulate the task of volumetric (3D) medical image segmentation as a sequence-to-sequence prediction problem.

Ranked #2 on Medical Image Segmentation on Synapse multi-organ CT (using extra training data)

3D Medical Imaging Segmentation Image Segmentation +1

Generative Adversarial Network in Medical Imaging: A Review

1 code implementation19 Sep 2018

Generative adversarial networks have gained a lot of attention in the computer vision community due to their capability of data generation without explicitly modelling the probability density function.

Data Augmentation Domain Adaptation +4

VoxelMorph: A Learning Framework for Deformable Medical Image Registration

6 code implementations14 Sep 2018

In contrast to this approach, and building on recent learning-based methods, we formulate registration as a function that maps an input image pair to a deformation field that aligns these images.

Deformable Medical Image Registration Diffeomorphic Medical Image Registration +1

Robust and Efficient Medical Imaging with Self-Supervision

1 code implementation19 May 2022

These results suggest that REMEDIS can significantly accelerate the life-cycle of medical imaging AI development thereby presenting an important step forward for medical imaging AI to deliver broad impact.

Representation Learning Self-Supervised Learning +1

An Unsupervised Learning Model for Deformable Medical Image Registration

3 code implementations CVPR 2018

We define registration as a parametric function, and optimize its parameters given a set of images from a collection of interest.

Deformable Medical Image Registration Image Registration +1