Sidratul Montaha

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

MCNN-LSTM: Combining CNN and LSTM to Classify Multi-Class Text in Imbalanced News Data

Khan Md. Hasib, Sami Azam, Asif Karim et al. · IEEE Access · 2023 · 57 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 Robust Framework Combining Image Processing and Deep Learning Hybrid Model to Classify Cardiovascular Diseases Using a Limited Number of Paper-Based Complex ECG Images

Kaniz Fatema, Sidratul Montaha, Md. Awlad Hossen Rony et al. · Biomedicines · 2022 · 36 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +23