Search Results

CPPE-5: Medical Personal Protective Equipment Dataset

2 code implementations15 Dec 2021

The image collection for this dataset focuses 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

33 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 Segmentation +3

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

20 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 +3

nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation

1 code implementation15 Apr 2024

The release of nnU-Net marked a paradigm shift in 3D medical image segmentation, demonstrating that a properly configured U-Net architecture could still achieve state-of-the-art results.

Benchmarking Image Segmentation +2

HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge

1 code implementation14 Apr 2023

Large Language Models (LLMs), such as the LLaMA model, have demonstrated their effectiveness in various general-domain natural language processing (NLP) tasks.

Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?

1 code implementation1 Jan 2021

Segmentation is one of the most important and popular tasks in medical image analysis, which plays a critical role in disease diagnosis, surgical planning, and prognosis evaluation.

Image Segmentation Medical Image Segmentation +2

ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge

1 code implementation24 Mar 2023

The primary aim of this research was to address the limitations observed in the medical knowledge of prevalent large language models (LLMs) such as ChatGPT, by creating a specialized language model with enhanced accuracy in medical advice.

Information Retrieval Language Modelling +3

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

10 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.

3D Medical Imaging Segmentation Image Segmentation +3