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Fully convolutional neural networks for polyp segmentation in colonoscopy.

, , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101340F. SPIE, (2017)

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Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic Polyp Segmentation Using Convolution Neural Networks., , , , , , , , , and 2 other author(s). J. Medical Robotics Res., 3 (2): 1840002:1-1840002:13 (2018)Blood detection in wireless capsule endoscope images based on salient superpixels., , , and . EMBC, page 731-734. IEEE, (2015)Investigating Cross-Dataset Abnormality Detection in Endoscopy with A Weakly-Supervised Multiscale Convolutional Neural Network., , and . ICIP, page 3124-3128. IEEE, (2018)Towards an ASIC-based Fluoroscopic Capsule for the Early Cancer Detection in the Small Intestine., , , and . EMBC, page 4460-4463. IEEE, (2018)Look-behind fully convolutional neural network for computer-aided endoscopy., , and . Biomed. Signal Process. Control., (2019)Fully convolutional neural networks for polyp segmentation in colonoscopy., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101340F. SPIE, (2017)Automatic lesion detection in wireless capsule endoscopy - A simple solution for a complex problem., and . ICIP, page 2236-2240. IEEE, (2014)MedGaze: Gaze Estimation on WCE Images Based on a CNN Autoencoder., , and . BIBE, page 363-367. IEEE, (2019)Enhanced CNN-Based Gaze Estimation on Wireless Capsule Endoscopy Images., , , and . CBMS, page 189-195. IEEE, (2021)Weakly-Supervised Lesion Detection in Video Capsule Endoscopy Based on a Bag-of-Colour Features Model., , , and . CARE@MICCAI, volume 10170 of Lecture Notes in Computer Science, page 96-103. Springer, (2016)