Log In Sign Up

Colorectal Polyp Detection in Real-world Scenario: Design and Experiment Study

by   Xinzi Sun, et al.

Colorectal polyps are abnormal tissues growing on the intima of the colon or rectum with a high risk of developing into colorectal cancer, the third leading cause of cancer death worldwide. Early detection and removal of colon polyps via colonoscopy have proved to be an effective approach to prevent colorectal cancer. Recently, various CNN-based computer-aided systems have been developed to help physicians detect polyps. However, these systems do not perform well in real-world colonoscopy operations due to the significant difference between images in a real colonoscopy and those in the public datasets. Unlike the well-chosen clear images with obvious polyps in the public datasets, images from a colonoscopy are often blurry and contain various artifacts such as fluid, debris, bubbles, reflection, specularity, contrast, saturation, and medical instruments, with a wide variety of polyps of different sizes, shapes, and textures. All these factors pose a significant challenge to effective polyp detection in a colonoscopy. To this end, we collect a private dataset that contains 7,313 images from 224 complete colonoscopy procedures. This dataset represents realistic operation scenarios and thus can be used to better train the models and evaluate a system's performance in practice. We propose an integrated system architecture to address the unique challenges for polyp detection. Extensive experiments results show that our system can effectively detect polyps in a colonoscopy with excellent performance in real time.


page 1

page 2

page 3

page 4

page 7


Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation

Colorectal cancer is the third most common cause of cancer worldwide. Ac...

Method and System for Image Analysis to Detect Cancer

Breast cancer is the most common cancer and is the leading cause of canc...

Exploring large scale public medical image datasets

Rationale and Objectives: Medical artificial intelligence systems are de...

A Gun Detection Dataset and Searching for Embedded Device Solutions

Gun violence is a severe problem in the world, particularly in the Unite...

Detection of Real-time DeepFakes in Video Conferencing with Active Probing and Corneal Reflection

The COVID pandemic has led to the wide adoption of online video calls in...

Domain adaptation strategies for cancer-independent detection of lymph node metastases

Recently, large, high-quality public datasets have led to the developmen...