WCE-SOTA-methods

Tensorflow implementations of state-of-the-art WCE classification algorithms

2019 Sensors:

Combination of AlexNet and GoogLeNet.

Paper: Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images.

WCE-AlexNet:

Paper: Weakly-supervised convolutional learning for detection of inflammatory gastrointestinal lesions.

Computer-aided detection of small intestinal ulcer and erosion in wireless capsule endoscopy images.

Detecting and locating gastrointestinal anomalies　using deep learning and iterative cluster unification.

A deep convolutional neural network for bleeding detection in wireless capsule endoscopy images.

2019 ISBI (Saliency-aware):

Paper: A SALIENCY-AWARE HYBRID DENSE NETWORK FOR BLEEDING DETECTION IN WIRELESS CAPSULE ENDOSCOPY IMAGES.

2019 MICCAI (Triple ANet):

Paper: Triple ANet: Adaptive Abnormal-aware Attention Network for WCE Image Classification.