A. K. M. Rakibul Haque Rafid

TimeDistributed-CNN-LSTM: A Hybrid Approach Combining CNN and LSTM to Classify Brain Tumor on 3D MRI Scans Performing Ablation Study

Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid et al. · IEEE Access · 2022 · 153 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +19

BreastNet18: A High Accuracy Fine-Tuned VGG16 Model Evaluated Using Ablation Study for Diagnosing Breast Cancer from Enhanced Mammography Images

Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid et al. · Biology · 2021 · 99 citations · Full text

Brain Tumor Segmentation from 3D MRI Scans Using U-Net

Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid et al. · SN Computer Science · 2023 · 45 citations · Full text

Medical Image Segmentation, Engineering, Machine Learning +19

A shallow deep learning approach to classify skin cancer using down-scaling method to minimize time and space complexity

Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid et al. · PLoS ONE · 2022 · 34 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +21

MNet-10: A robust shallow convolutional neural network model performing ablation study on medical images assessing the effectiveness of applying optimal data augmentation technique

Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid et al. · Frontiers in Medicine · 2022 · 34 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +21