Medical Object Detection

27 papers with code • 3 benchmarks • 3 datasets

Medical object detection is the task of identifying medical-based objects within an image.

( Image credit: Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector )

Latest papers with no code

ADA-YOLO: Dynamic Fusion of YOLOv8 and Adaptive Heads for Precise Image Detection and Diagnosis

no code yet • 14 Dec 2023

To address this issue, we propose ADA-YOLO, a light-weight yet effective method for medical object detection that integrates attention-based mechanisms with the YOLOv8 architecture.

Taming Detection Transformers for Medical Object Detection

no code yet • 27 Jun 2023

The accurate detection of suspicious regions in medical images is an error-prone and time-consuming process required by many routinely performed diagnostic procedures.

Accurate Detection of Mediastinal Lesions with nnDetection

no code yet • 20 Mar 2023

The accurate detection of mediastinal lesions is one of the rarely explored medical object detection problems.

An Efficient Anchor-free Universal Lesion Detection in CT-scans

no code yet • 30 Mar 2022

Existing universal lesion detection (ULD) methods utilize compute-intensive anchor-based architectures which rely on predefined anchor boxes, resulting in unsatisfactory detection performance, especially in small and mid-sized lesions.

DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection

no code yet • British Machine Vision Conference 2021

In this paper, we exploit the domain information present in computed tomography (CT) scans and propose a robust universal lesion detection (ULD) network that can detect lesions across all organs of the body by training on a single dataset, DeepLesion.

Lightweight Transformer Backbone for Medical Object Detection

no code yet • 22 Nov 2021

Specifically, we propose a novel modification of visual transformer (ViT) on image feature patches to connect the feature patches of a tumor with healthy backgrounds of breast images and form a more robust backbone for tumor detection.

SpineOne: A One-Stage Detection Framework for Degenerative Discs and Vertebrae

no code yet • 28 Oct 2021

Spinal degeneration plagues many elders, office workers, and even the younger generations.

Conditional Training with Bounding Map for Universal Lesion Detection

no code yet • 23 Mar 2021

Universal Lesion Detection (ULD) in computed tomography plays an essential role in computer-aided diagnosis.

MACD R-CNN: An Abnormal Cell Nucleus Detection Method

no code yet • 28 Jul 2020

We design a fixed proposal module to generate fixed-sized feature maps of nuclei, which allows the new information of nucleus is used for classification.

Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets

no code yet • 28 May 2020

First, we learn a multi-head multi-task lesion detector using all datasets and generate lesion proposals on DeepLesion.