DeepAI
Log In Sign Up

Progressive Adversarial Semantic Segmentation

05/08/2020
by   Abdullah-Al-Zubaer Imran, et al.
9

Medical image computing has advanced rapidly with the advent of deep learning techniques such as convolutional neural networks. Deep convolutional neural networks can perform exceedingly well given full supervision. However, the success of such fully-supervised models for various image analysis tasks (e.g., anatomy or lesion segmentation from medical images) is limited to the availability of massive amounts of labeled data. Given small sample sizes, such models are prohibitively data biased with large domain shift. To tackle this problem, we propose a novel end-to-end medical image segmentation model, namely Progressive Adversarial Semantic Segmentation (PASS), which can make improved segmentation predictions without requiring any domain-specific data during training time. Our extensive experimentation with 8 public diabetic retinopathy and chest X-ray datasets, confirms the effectiveness of PASS for accurate vascular and pulmonary segmentation, both for in-domain and cross-domain evaluations.

READ FULL TEXT

page 1

page 4

07/27/2022

Two-Stream UNET Networks for Semantic Segmentation in Medical Images

Recent advances of semantic image segmentation greatly benefit from deep...
04/22/2021

A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation

In the last years, deep learning has dramatically improved the performan...
08/08/2022

Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration

For medical image analysis, segmentation models trained on one or severa...
02/25/2019

A large annotated medical image dataset for the development and evaluation of segmentation algorithms

Semantic segmentation of medical images aims to associate a pixel with a...
12/05/2019

OASIS: One-pass aligned Atlas Set for Image Segmentation

Medical image segmentation is a fundamental task in medical image analys...
10/12/2020

Fully Automatic Wound Segmentation with Deep Convolutional Neural Networks

Acute and chronic wounds have varying etiologies and are an economic bur...