Md Mamunur Rahaman

Orcid: 0000-0003-2268-2092

According to our database1, Md Mamunur Rahaman authored at least 33 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
What can machine vision do for lymphatic histopathology image analysis: a comprehensive review.
Artif. Intell. Rev., March, 2024

2023
A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches.
Artif. Intell. Rev., February, 2023

Breast Cancer Histopathology Image based Gene Expression Prediction using Spatial Transcriptomics data and Deep Learning.
CoRR, 2023

ACTIVE: A Deep Model for Sperm and Impurity Detection in Microscopic Videos.
CoRR, 2023

Segmentation of weakly visible environmental microorganism images using pair-wise deep learning features.
Biomed. Signal Process. Control., 2023

TOD-Net: Transformer-Based Neural Network for Tiny Object Detection in Sperm Microscopic Videos.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron.
Pattern Recognit., 2022

GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection.
Pattern Recognit., 2022

An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images.
CoRR, 2022

A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements.
CoRR, 2022

EBHI: A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation.
CoRR, 2022

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.
Comput. Biol. Medicine, 2022

GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer.
Comput. Biol. Medicine, 2022

IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach.
Comput. Biol. Medicine, 2022

A hierarchical conditional random field-based attention mechanism approach for gastric histopathology image classification.
Appl. Intell., 2022

A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches.
Artif. Intell. Rev., 2022

A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches.
Artif. Intell. Rev., 2022

2021
EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation.
CoRR, 2021

A Comparison of Deep Learning Classification Methods on Small-scale Image Data set: from Convolutional Neural Networks to Visual Transformers.
CoRR, 2021

A New Gastric Histopathology Subsize Image Database (GasHisSDB) for Classification Algorithm Test: from Linear Regression to Visual Transformer.
CoRR, 2021

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.
CoRR, 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.
CoRR, 2021

A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches.
CoRR, 2021

A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification.
CoRR, 2021

EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks.
CoRR, 2021

DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques.
Comput. Biol. Medicine, 2021

Intelligent Gastric Histopathology Image Classification Using Hierarchical Conditional Random Field based Attention Mechanism.
Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

2020
A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks.
CoRR, 2020

A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks.
IEEE Access, 2020

An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification.
IEEE Access, 2020

An Enhanced Framework of Generative Adversarial Networks (EF-GANs) for Environmental Microorganism Image Augmentation With Limited Rotation-Invariant Training Data.
IEEE Access, 2020

A Survey for Cervical Cytopathology Image Analysis Using Deep Learning.
IEEE Access, 2020

Foldover Features for Dynamic Object Behaviour Description in Microscopic Videos.
IEEE Access, 2020


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