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09/07/2023
MS-UNet-v2: Adaptive Denoising Method and Training Strategy for Medical Image Segmentation with Small Training Data
Models based on U-like structures have improved the performance of medic...
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04/29/2023
Representing Additive Gaussian Processes by Sparse Matrices
Among generalized additive models, additive Matérn Gaussian Processes (G...
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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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06/02/2022
CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron
Cervical cancer is the seventh most common cancer among all the cancers ...
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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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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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03/07/2022
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations
We develop an exact and scalable algorithm for one-dimensional Gaussian ...
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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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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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06/03/2021
A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Perfo
Image classification has achieved unprecedented advance with the the rap...
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05/16/2021
Is Image Size Important? A Robustness Comparison of Deep Learning Methods for Multi-scale Cell Image Classification Tasks: from Convolutional Neural Networks to Visual Transfor
Cervical cancer is a very common and fatal cancer in women, but it can b...
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04/29/2021