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08/07/2023
Prototype Learning for Out-of-Distribution Polyp Segmentation
Existing polyp segmentation models from colonoscopy images often fail to...
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07/16/2023
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection
Integrating real-time artificial intelligence (AI) systems in clinical p...
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06/03/2023
TransRUPNet for Improved Out-of-Distribution Generalization in Polyp Segmentation
Out-of-distribution (OOD) generalization is a critical challenge in deep...
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05/04/2023
Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification
In this study, our goal is to show the impact of self-supervised pre-tra...
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04/23/2023
Ensuring Trustworthy Medical Artificial Intelligencethrough Ethical and Philosophical Principles
Artificial intelligence (AI) methods have great potential to revolutioni...
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04/23/2023
Vision Transformer for Efficient Chest X-ray and Gastrointestinal Image Classification
Medical image analysis is a hot research topic because of its usefulness...
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04/05/2023
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation
Most statistical learning algorithms rely on an over-simplified assumpti...
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03/13/2023
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing
Colonoscopy is considered the most effective screening test to detect co...
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01/06/2023
RUPNet: Residual upsampling network for real-time polyp segmentation
Colorectal cancer is among the most prevalent cause of cancer-related mo...
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12/20/2022
Domain Generalization with Correlated Style Uncertainty
Though impressive success has been witnessed in computer vision, deep le...
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10/29/2022
Multi-Scale Fusion Methodologies for Head and Neck Tumor Segmentation
Head and Neck (H&N) organ-at-risk (OAR) and tumor segmentations are esse...
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10/24/2022
DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation
Colorectal cancer (CRC) is the second leading cause of cancer-related de...
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08/15/2022
An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation
Accurate segmentation of organs-at-risks (OARs) is a precursor for optim...
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08/05/2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
With the advent of the IoT, AI, and ML/DL algorithms, the data-driven me...
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07/19/2022
COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics
Due to the current COVID-19 virus, which has already been declared a pan...
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06/22/2022
Video Analytics in Elite Soccer: A Distributed Computing Perspective
Ubiquitous sensors and Internet of Things (IoT) technologies have revolu...
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06/17/2022
TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation
Colorectal cancer (CRC) is one of the most common causes of cancer and c...
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06/16/2022
Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network
Video capsule endoscopy is a hot topic in computer vision and medicine. ...
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06/13/2022
Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network
The detection and removal of precancerous polyps through colonoscopy is ...
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05/21/2022
Transformer based Generative Adversarial Network for Liver Segmentation
Automated liver segmentation from radiology scans (CT, MRI) can improve ...
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11/20/2021
PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation
Medical image segmentation can provide detailed information for clinical...
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07/26/2021
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation
Colonoscopy is considered the gold standard for detection of colorectal ...
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06/08/2021
PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment
Polyps in the colon are widely known as cancer precursors identified by ...
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06/06/2021
Few-shot segmentation of medical images based on meta-learning with implicit gradients
Classical supervised methods commonly used often suffer from the require...
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05/18/2021
Progressively Normalized Self-Attention Network for Video Polyp Segmentation
Existing video polyp segmentation (VPS) models typically employ convolut...
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05/16/2021
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
Methods based on convolutional neural networks have improved the perform...
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04/22/2021
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy
Deep learning in gastrointestinal endoscopy can assist to improve clinic...
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03/31/2021
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
With the increase in available large clinical and experimental datasets,...
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01/06/2021
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification
Deep Neural Networks (DNNs) have become the de-facto standard in compute...
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12/30/2020
Automatic Polyp Segmentation using U-Net-ResNet50
Polyps are the predecessors to colorectal cancer which is considered as ...
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12/30/2020
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation
Colonoscopy is the gold standard for examination and detection of colore...
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12/30/2020
Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation
Colorectal cancer is the third most common cause of cancer worldwide. Ac...
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11/15/2020
Real-Time Polyp Detection, Localisation and Segmentation in Colonoscopy Using Deep Learning
Computer-aided detection, localisation, and segmentation methods can hel...
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06/08/2020
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation
Semantic image segmentation is the process of labeling each pixel of an ...
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05/08/2020
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification
Precise and efficient automated identification of Gastrointestinal (GI) ...
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03/23/2020
Robust Medical Instrument Segmentation Challenge 2019
Intraoperative tracking of laparoscopic instruments is often a prerequis...
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11/16/2019
Kvasir-SEG: A Segmented Polyp Dataset
Pixel-wise image segmentation is a highly demanding task in medical-imag...
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11/16/2019
ResUNet++: An Advanced Architecture for Medical Image Segmentation
Accurate computer-aided polyp detection and segmentation during colonosc...
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10/31/2018
