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Weakly-supervised Convolutional learning for detection of inflammatory gastrointestinal lesions

https://doi.org/10.1109/ist.2016.7738279

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Image Processing, Analysis and Machine Vision

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Crowdsourcing for Reference Correspondence Generation in Endoscopic Images

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Do We Need Annotation Experts? A Case Study in Celiac Disease Classification

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Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks

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Image processing, analysis and machine vision

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Automatic lesion detection in capsule endoscopy based on color saliency: closer to an essential adjunct for reviewing software

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A software tool for the automatic detection and quantification of fibrotic tissues in microscopy images

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Learning discriminative localization from weakly labeled data

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A Tutorial on Support Vector Machines for Pattern Recognition

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Software for enhanced video capsule endoscopy: challenges for essential progress

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Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans

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Capsule Endoscopy Interpretation by an Endoscopy Nurse – a Comparative Trial

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Accuracy of Trained Nurses in Finding Small Bowel Lesions at Video Capsule Endoscopy

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Gradient-based learning applied to document recognition

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Lesion detection of endoscopy images based on convolutional neural network features

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Is object localization for free? - Weakly-supervised learning with convolutional neural networks

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Medical image classification with convolutional neural network

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Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks

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Learning discriminative local features from image-level labelled data for colonoscopy image classification

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Computer-Aided Endoscopic Diagnosis Without Human-Specific Labeling

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Caffe

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ImageNet classification with deep convolutional neural networks

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On-Line Learning in Neural Networks

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Small-bowel capsule endoscopy: A ten-point contemporary review

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Wireless endoscopy in 2020: Will it still be a capsule?

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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ELNet:Automatic classification and segmentation for esophageal lesions using convolutional neural network

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Least Square Saliency Transformation of Capsule Endoscopy Images for PDF Model Based Multiple Gastrointestinal Disease Classification

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Wireless Capsule Endoscopy: A New Tool for Cancer Screening in the Colon With Deep-Learning-Based Polyp Recognition

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Vision Transformer With Hybrid Shifted Windows for Gastrointestinal Endoscopy Image Classification

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Zoom in Lesions for Better Diagnosis: Attention Guided Deformation Network for WCE Image Classification

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Lesion-Decoupling-Based Segmentation With Large-Scale Colon and Esophageal Datasets for Early Cancer Diagnosis

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CrohnIPI: An endoscopic image database for the evaluation of automatic Crohn's disease lesions recognition algorithms

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