Md Mamunur Rahaman

发表

A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks

Tao Jiang, Chen Li, Qian Wang, 2020, IEEE Access.

A Survey for Cervical Cytopathology Image Analysis Using Deep Learning

Chen Li, Tao Jiang, Md Mamunur Rahaman, 2020, IEEE Access.

Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches

Xin Zhao, Qian Wang, Chen Li, 2020, Journal of X-ray science and technology.

An Enhanced Framework of Generative Adversarial Networks (EF-GANs) for Environmental Microorganism Image Augmentation With Limited Rotation-Invariant Training Data

Xin Zhao, Chen Li, Yueyang Teng, 2020, IEEE Access.

Foldover Features for Dynamic Object Behavior Description in Microscopic Videos

Xue Wang, Chen Li, Xialin Li, 2020, ArXiv.

An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification

Chen Li, Hao Chen, Xiaomin Zhou, 2020, IEEE Access.

Intelligent Gastric Histopathology Image Classification Using Hierarchical Conditional Random Field based Attention Mechanism

Chen Li, Md Mamunur Rahaman, Yixin Li, 2021, ICMLC.

Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From convolutional neural networks to visual transformers

Marcin Grzegorzek, Chen Li, Md Mamunur Rahaman, 2021, Comput. Biol. Medicine.

A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: from Traditional Image Processing and Classical Machine Learning to Current Deep Convolutional Neural Networks and Potential Visual Transformers pdf

Marcin Grzegorzek, Chen Li, Md Mamunur Rahaman, 2021, ArXiv.

DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques

Chen Li, Xiaoyan Li, Frank Kulwa, 2021, Comput. Biol. Medicine.

EMDS-5: Environmental Microorganism image dataset Fifth Version for multiple image analysis tasks

Chen Li, Jinghua Zhang, Frank Kulwa, 2021, PloS one.

What Can Machine Vision Do for Lymphatic Histopathology Image Analysis: A Comprehensive Review

Marcin Grzegorzek, Md Mamunur Rahaman, Hongzan Sun, 2022 .

A New Gastric Histopathology Subsize Image Database (GasHisSDB) for Classification Algorithm Test: from Linear Regression to Visual Transformer pdf

Marcin Grzegorzek, Chen Li, Jiquan Ma, 2021, ArXiv.

GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer

Marcin Grzegorzek, Chen Li, Jiquan Ma, 2021, Comput. Biol. Medicine.

A Comparison of Deep Learning Classification Methods on Small-scale Image Data set: from Convolutional Neural Networks to Visual Transformers pdf

Marcin Grzegorzek, Chen Li, Md Mamunur Rahaman, 2021, ArXiv.

A State-of-the-art Survey of Artificial Neural Networks for Whole-slide Image Analysis: from Popular Convolutional Neural Networks to Potential Visual Transformers pdf

Marcin Grzegorzek, Chen Li, Md Mamunur Rahaman, 2021, ArXiv.

EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation pdf

Marcin Grzegorzek, Md Mamunur Rahaman, Hao Xu, 2021, ArXiv.

A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches

Tao Jiang, Marcin Grzegorzek, Chen Li, 2021, Artificial Intelligence Review.