Profile

Farjana Parvin

ফারজানা পারভীন

Lecturer

  •  Room No:  Room No. 110, Department of CSE, RUET
  •  Phone:   880-1739497360 , 880-1701080874
  •  Email:   farjana.sumona94@gmail.com
  • farjana@cse.ruet.ac.bd
  •  Website:   https://www.ruet.ac.bd/farjanaparvin
Field of Research
  •  Computer Vision
  •  Deep Learning
  •  Machine Learning
  •  Medical Image Processing
ResearchGate Goggle Scholar
  •  First Joined: 12th Dec, 2021
  •      Dept. of Computer Science & Engineering

Position

Education

Book / Book Chapter
3
Journal Articles
0
Conference Papers
7
SL Authors Title Publisher Details Publication Year Type
1 Farjana Parvin, Md. Al Mehedi Hasan, Boshir Ahmed, Md. Al Mamun, and S. M. Kausar Parvej Breast Cancer Histopathological Image Classification Using an Ensemble of Deep Convolutional Neural Networks IEEE 2023 Conference
2 Marzuka Abeeda, and Farjana Parvin Alzheimer’s Disease Classification Using Parallel Deep Convolutional Neural Network IEEE 2023 Conference
3 Noshin Tabassum, and Farjana Parvin Utilizing Transfer Learning and Class-Selective Image Processing for COVID-19 Detection IEEE 2023 Conference
4 Farjana Parvin, Md. Al Mamun Deep Feature Fusion Based Effective Brain Tumor Detection and Classification Approach Using MRI Springer 2023 Book Chapter
5 Sudipta Progga Islam, and Farjana Parvin A Deep CNN-Based Approach for Revolutionizing Bengali Handwritten Numeral Recognition Springer 2023 Book Chapter
6 Ananta Raha, Farjana Parvin, and Tasmia Jannat Brain Tumor Segmentation with Efficient and Low-Complex Architecture Using RCNN and Modified U-Net Springer 2023 Book Chapter
7 Farjana Parvin, and Md. Al Mamun An Effective Brain Tumor Classification Approach using Parallel Deep Convolutional Neural Networks IEEE 2023 Conference
8 Farjana Parvin, and Md. Al Mamun Feature Fusion Based Effective Brain Tumor Detection Approach Using MRI IEEE 2022 Conference
9 Md. Al Mehedi Hasan, Jungpil Shin and Farjana Parvin Deep Transfer Learning Based Detection of COVID-19 from Chest X-ray Images ACM 2021 Conference
10 Farjana Parvin and Md. Al Mehedi Hasan A Comparative Study of Different Types of Convolutional Neural Networks for Breast Cancer Histopathological Image Classification IEEE 2020 Conference
  •  Student of the year award (2nd academic year), honored by the department of CSE, RUET in 2018
Phd Students
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Masters Students
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Undergraduate Students
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Activity Description