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05/03/2023
Hierarchical and Upstream-Downstream Composition of Stock and Flow Models
The growing complexity of decision-making in public health and health ca...
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11/01/2022
A Categorical Framework for Modeling with Stock and Flow Diagrams
Stock and flow diagrams are already an important tool in epidemiology, b...
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06/29/2022
Coo: Consistency Check for Transactional Databases
In modern databases, transaction processing technology provides ACID (At...
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06/07/2022
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach
In recent years, colorectal cancer has become one of the most significan...
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05/25/2022
A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer
Gastric cancer is the fifth most common cancer in the world. At the same...
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05/17/2022
Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer
The gold standard for gastric cancer detection is gastric histopathologi...
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05/09/2022
Compositional Modeling with Stock and Flow Diagrams
Stock and flow diagrams are widely used in epidemiology to model the dyn...
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04/21/2022
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic Segmentation
LiDAR semantic segmentation essential for advanced autonomous driving is...
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04/18/2022
Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology
Background: Breast cancer has the highest prevalence in women globally. ...
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02/17/2022
EBHI:A New Enteroscope Biopsy Histopathological H E Image Dataset for Image Classification Evaluation
Background and purpose: Colorectal cancer has become the third most comm...
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01/21/2022
What Can Machine Vision Do for Lymphatic Histopathology Image Analysis: A Comprehensive Review
In the past ten years, the computing power of machine vision (MV) has be...
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11/19/2021
A 3D 2D convolutional Neural Network Model for Hyperspectral Image Classification
In the proposed SEHybridSN model, a dense block was used to reuse shallo...
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09/14/2021
Coo: Rethink Data Anomalies In Databases
Transaction processing technology has three important contents: data ano...
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06/04/2021
A New Gastric Histopathology Subsize Image Database (GasHisSDB) for Classification Algorithm Test: from Linear Regression to Visual Transformer
GasHisSDB is a New Gastric Histopathology Subsize Image Database with a ...
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05/25/2021
The Component Diagnosability of General Networks
The processor failures in a multiprocessor system have a negative impact...
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04/29/2021
GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathology Image Classification
For deep learning methods applied to the diagnosis of gastric cancer int...
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04/13/2021
A State-of-the-art Survey of Artificial Neural Networks for Whole-slide Image Analysis:from Popular Convolutional Neural Networks to Potential Visual Transformers
In recent years, with the advancement of computer-aided diagnosis (CAD) ...
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02/24/2021
DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques
Cervical cancer, one of the most common fatal cancers among women, can b...
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02/21/2021
A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches
With the development of computer-aided diagnosis (CAD) and image scannin...
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02/21/2021
A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification
In the Gastric Histopathology Image Classification (GHIC) tasks, which i...
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03/27/2020
A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks
Breast cancer is one of the most common and deadliest cancers among wome...
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03/03/2020
Gastric histopathology image segmentation using a hierarchical conditional random field
In this paper, a Hierarchical Conditional Random Field (HCRF) model base...
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02/04/2020
Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling
This paper discusses the reconstruction of partially sampled spectrum-im...
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07/15/2019
Exploring Deep Anomaly Detection Methods Based on Capsule Net
In this paper, we develop and explore deep anomaly detection techniques ...
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04/01/2019
Weakly Supervised Object Detection with Segmentation Collaboration
Weakly supervised object detection aims at learning precise object detec...
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08/11/2014