Conference Paper2024
Mycological Examination of Microscopic Fungi Images with Deep Learning and Gradient Weighted Class Activation Mapping Visualization
Md. Safirur Rashid, Md. Samin Morshed, Muhammad Usama Islam, Sami Rashid, Asif Mahmud, Ashraful Islam
IEEE 2024 International Advances in Science & Engineering Technology (ASET) Multi-Conferences
IEEE, pp. 01-08
CCDS Authors
References
- 1.Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, Zbigniew Wojna. (2016). Rethinking the Inception Architecture for Computer Vision. , 2818–2826[10.1109/cvpr.2016.308]
- 2.Sinno Jialin Pan, Qiang Yang. (2009). A Survey on Transfer Learning. IEEE Transactions on Knowledge and Data Engineering, 22(10), 1345–1359[10.1109/tkde.2009.191]
- 3.Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra. (2017). Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization. , 618–626[10.1109/iccv.2017.74]
- 4.Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He. (2020). A Comprehensive Survey on Transfer Learning. Proceedings of the IEEE, 109(1), 43–76[10.1109/jproc.2020.3004555]
- 5.Chuanqi Tan, Fuchun Sun, Tao Kong, Wenchang Zhang, Chao Yang, Chunfang Liu. (2018). A Survey on Deep Transfer Learning. Lecture notes in computer science, 270–279[10.1007/978-3-030-01424-7_27]
- 6.(2000). Measurement Reliability and Validity. Psychology Press eBooks, 319–338[10.4324/9781410605337-29]
- 7.Shuteng Niu, Yongxin Liu, Jian Wang, Houbing Song. (2020). A Decade Survey of Transfer Learning (2010–2020). IEEE Transactions on Artificial Intelligence, 1(2), 151–166[10.1109/tai.2021.3054609]
- 8.Sheldon Mascarenhas, Mukul Agarwal. (2021). A comparison between VGG16, VGG19 and ResNet50 architecture frameworks for Image Classification. , 96–99[10.1109/centcon52345.2021.9687944]
- 9.Monika Bansal, Munish Kumar, Monika Sachdeva, Ajay Mittal. (2021). Transfer learning for image classification using VGG19: Caltech-101 image data set. Journal of Ambient Intelligence and Humanized Computing, 14(4), 3609–3620[10.1007/s12652-021-03488-z]
- 10.Manali Shaha, Meenakshi M. Pawar. (2018). Transfer Learning for Image Classification. 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA), 656–660[10.1109/iceca.2018.8474802]
- 11.Sabbir Ahmed, Md. Bakhtiar Hasan, Tasnim Ahmed, Md. Redwan Karim Sony, Md. Hasanul Kabir. (2022). Less is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease Classification. IEEE Access, 10, 68868–68884[10.1109/access.2022.3187203]
- 12.Qian Xiang, Xiaodan Wang, Rui Li, Guoling Zhang, Jie Lai, Qingshuang Hu. (2019). Fruit Image Classification Based on MobileNetV2 with Transfer Learning Technique. Proceedings of the 3rd International Conference on Computer Science and Application Engineering, 1–7[10.1145/3331453.3361658]
- 13.Carlos Ferreira, Tânia Melo, Patrick Sousa, Maria Inês Meyer, Elham Shakibapour, Pedro Costa, Aurélio Campilho. (2018). Classification of Breast Cancer Histology Images Through Transfer Learning Using a Pre-trained Inception Resnet V2. Lecture notes in computer science, 763–770[10.1007/978-3-319-93000-8_86]
- 14.Bartosz Zieliński, Agnieszka Sroka-Oleksiak, Dawid Rymarczyk, Adam Piekarczyk, Monika Brzychczy‐Włoch. (2020). Deep learning approach to describe and classify fungi microscopic images. PLoS ONE, 15(6), e0234806[10.1371/journal.pone.0234806]
- 15.Md. Samin Morshed, Sabbir Ahmed, Tasnim Ahmed, Muhammad Usama Islam, Asif Rahman. (2022). Fruit Quality Assessment with Densely Connected Convolutional Neural Network. , 1–4[10.1109/icece57408.2022.10088873]
- 16.Asaduzzaman Herok, Sabbir Ahmed. (2023). Cotton Leaf Disease Identification Using Transfer Learning. , 158–162[10.1109/icict4sd59951.2023.10303323]
- 17.Esraa Hassan, Fatma M. Talaat, Samah A. Gamel, Samir Abdelrazek, Ahsan Aziz, Yunyoung Nam, Nora El-Rashidy. (2023). Robust Deep Learning Model for Black Fungus Detection Based on Gabor Filter and Transfer Learning. Computer Systems Science and Engineering, 47(2), 1507–1525[10.32604/csse.2023.037493]
- 18.Md. Sahidullah, Nasim Mahmud Nayan, Md. Samin Morshed, Mohammad Mobarak Hossain, Muhammad Usama Islam. (2023). Date Fruit Classification with Machine Learning and Explainable Artificial Intelligence. International Journal of Computer Applications, 184(50), 1–5[10.5120/ijca2023922617]
- 19.Sheikh Iftekhar Ahmed, A. H. M. Osama Haque. (2023). Microscopic Fungi Classification Using Vision Transformer Guided by Transfer Learning Approach. , 1–6[10.1109/iccit60459.2023.10441604]
- 20.María Alejandra Vanegas Álvarez, Leticia Sopó, Camilo Javier Pineda Sopo, Farshid Hajati, Soheil Gheisari. (2022). P456 Defungi: direct mycological examination of microscopic fungi images. Medical Mycology, 60(Supplement_1)[10.1093/mmy/myac072.p456]
