Lesion Detection

30 papers with code • 0 benchmarks • 0 datasets

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Most implemented papers

MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation

rsummers11/CADLab 12 Aug 2019

When reading medical images such as a computed tomography (CT) scan, radiologists generally search across the image to find lesions, characterize and measure them, and then describe them in the radiological report.

Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels

fizyr/keras-retinanet 5 Jun 2019

We propose a highly accurate and efficient one-stage lesion detector, by re-designing a RetinaNet to meet the particular challenges in medical imaging.

Reg R-CNN: Lesion Detection and Grading under Noisy Labels

MIC-DKFZ/RegRCNN 22 Jul 2019

To this end, we propose Reg R-CNN, which replaces the second-stage classification model of a current object detector with a regression model.

A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis

haranrk/DigiPathAI 1 Jan 2020

However, the size of images and variability in histopathology tasks makes it a challenge to develop an integrated framework for histopathology image analysis.

Stroke Lesion Segmentation with Visual Cortex Anatomy Alike Neural Nets

DarkoBomer/VCA-Net 13 May 2021

Fast and precise stroke lesion detection and location is an extreme important process with regards to stroke diagnosis, treatment, and prognosis.

Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

SSinyu/RED_CNN 1 Feb 2017

Given the potential X-ray radiation risk to the patient, low-dose CT has attracted a considerable interest in the medical imaging field.

An Ensemble Deep Learning Based Approach for Red Lesion Detection in Fundus Images

ignaciorlando/red-lesion-detection 9 Jun 2017

In this paper we propose a novel method for red lesion detection based on combining both deep learned and domain knowledge.

3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes

lsqshr/AH-Net 23 Nov 2017

The focal loss is further utilized for more effective end-to-end learning.

Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders

aubreychen9012/cAAE 13 Jun 2018

Lesion detection in brain Magnetic Resonance Images (MRI) remains a challenging task.