Conference Paper2026

A Comprehensive Benchmark Study of Transfer Learning-Based Deep Learning Models for Brain Tumor Classification

Nur E Jannat Hema, Manosh Sur Choudhury, Sefatul Wasi, Siam Tahsin Bhuiyan, Fatin Israq, Noushin Anan, Saadia Binte Alam, Ashraful Islam, Rashedur Rahman

2026 5th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)

IEEE, pp. 1-6

  • Good Health and Well-being — Relevance: 85%

Keywords

  • transfer learning
  • brain tumor classification
  • medical image classification
  • deep learning models
  • benchmark study

CCDS Authors

Manosh Sur Choudhury
Manosh Sur Choudhury

Manosh Sur Choudhury

  • Research Assistant, CCDS

Masters

+1 more affiliation

Dhaka University

Siam Tahsin Bhuiyan
Siam Tahsin Bhuiyan

Siam Tahsin Bhuiyan

  • Intern, CCDS

Bachelors

Independent University, Bangladesh

Published at

Scientific Reports

Saadia Binte Alam, PhD
Saadia Binte Alam, PhD

Saadia Binte Alam, PhD

  • Director, MIRA & WiSE Wings

Associate Professor

Department of Computer Science and Engineering

Independent University, Bangladesh

Published at

HCII, Scientific Reports, Cognitive Computation, Neural Computing and Applications

Ashraful Islam, PhD
Ashraful Islam

Ashraful Islam, PhD

  • Center Director, CCDS
  • Director, HCI Wing

Assistant Professor

Department of Computer Science and Engineering

Independent University, Bangladesh (IUB)

Published at

CHI, UIST, UbiComp, IJCNN, ICIP, HCII, ICDMW, BLP, IEEE Internet of Things Journal, JMIR, JMIR Human Factors, JMIR Formative Research, IEEE Access, Smart Agricultural Technology, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Human-Computer Interaction, AI for Social Good, AI for Public Health, AI for Impact

Md. Rashedur Rahman, D. Eng.
Md. Rashedur Rahman, D. Eng.

Md. Rashedur Rahman, D. Eng.

  • Co-Director, MIRA & NEST Wings

Assistant Professor

Department of Computer Science and Engineering

Independent University, Bangladesh

Published at

CHI, HCII, Scientific Reports, Cognitive Computation, Neural Computing and Applications

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