Lesion Detection

52 papers with code • 0 benchmarks • 2 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.

Lesion Focused Super-Resolution

GinZhu/RDST 15 Oct 2018

Super-resolution (SR) for image enhancement has great importance in medical image applications.

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.

Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images

andreped/livermask 2 Dec 2021

The computer-aided diagnosis of focal liver lesions (FLLs) can help improve workflow and enable correct diagnoses; FLL detection is the first step in such a computer-aided diagnosis.

A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos

jhl-det/cva-net 1 Jul 2022

Moreover, we learn video-level features to classify the breast lesions of the original video as benign or malignant lesions to further enhance the final breast lesion detection performance in ultrasound videos.

FCN-Transformer Feature Fusion for Polyp Segmentation

ESandML/FCBFormer 17 Aug 2022

The resulting features from both branches are then fused for final prediction of a $h\times w$ segmentation map.