Abduz Zami
Lecturer, BUFT
About
Experience
Education
Teaching/Research Specialization
Fields of Interest
- Computer Vision
- Image Segmentation
- Image Classification
- Image Restoration
- Machine Learning
Find my works at Google Scholar
Publications
[1]. UltraLightCPS: An Ultra-Lightweight Colon Polyp Segmentation model using an adaptive compressed multi-scale semantic fusion mechanism
Name: Biomedical Signal Processing and Control Volumn: 120[2]. MedPrompt: LLM–CNN Fusion with Weight Routing for Medical Image Segmentation and Classification
Name: Biomedical Signal Processing and Control Volumn: 113Conference Paper
[1]. From Pixels to Diagnosis: Convolutional Neural Networks in Tuberculosis Screening
Name: ICEEICT 2023[2]. Risk Minimization by Early Readmission Prediction for Diabetes Patients: A Data-Driven Machine Learning Approach
Name: BECITHCON-2024[3]. A Lightweight Framework for Facial Emotion Recognition: Leveraging Geometrical Priors with Spatial Features
Name: NCIM 2025[4]. A Multi-Stage Deep Learning Approach to Tuberculosis Detection with Explainable Insights
Name: NCIM 2025[5]. Multimodal Deep Learning Approach for Bangla Sign Language Recognition: Integrating Spatial and Geometric Features
Name: NCIM 2025[6]. Skin Cancer Classification Using Pre-trained CNNs: A Transfer Learning Approach Addressing Imbalanced Data Challenges
Name: NCIM 2025[7]. An Attention Guided Lightweight U-Net Framework for Colon Polyp Segmentation in Colonoscopy Images
Name: ICECTE 2026[8]. Bangla Dialect Classification Across 11 Regions Using Machine Learning and Transformer-Based Models
Name: ICECTE 2026[9]. Harnessing Ensemble Transfer Learning to Boost Human Activity Recognition in Static Images
Name: STI 2025Book chapter
[1]. TIG-UNet++: A Thresholded Input Guided Modified UNet++ for Separating Lung Region in Chest X-Rays
Name: ICT for Intelligent Systems