Optimizing Knowledge Transfer in Sequential Models: Leveraging Residual Connections in Flow Transfer Learning for Lung Cancer Classification

Author:

Sharma Richa1ORCID,Kumar Santosh2ORCID,Shrivastava Abhishek2ORCID,Bhatt Tejasv3ORCID

Affiliation:

1. Computer Science and Engineering, SSTC Bhilai, IN

2. Computer Science and Engineering, International Institute of Information Technology (IIIT)-Naya Raipur, IN

3. Computer Science and Engineering, United College of Engineering & Research (UCER) Prayajraj Uttar Pradesh, IN

Publisher

ACM

Reference13 articles.

1. Sanskriti Chandra, Shivam Saxena, Santosh Kumar, Mithilesh Kumar Chaube, and Narendra Kuber Bodhey. 2022. A Novel Framework For Brain Disease Classification Using Quantum Convolutional Neural Network. In 2022 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE). IEEE, IIIT-NR, 346–351.

2. Self-supervised transfer learning based on domain adaptation for benign-malignant lung nodule classification on thoracic CT;Huang Hong;IEEE Journal of Biomedical and Health Informatics,2022

3. . A Novel Multimodal Framework for Early Diagnosis and Classification of COPD Based on CT Scan Images and Multivariate Pulmonary Respiratory Diseases;Kumar Santosh;Computer Methods and Programs in Biomedicine,2023

4. Santosh Kumar Mithilesh Kumar Chaube Saeed Hamood Alsamhi Sachin Kumar Gupta Mohsen Guizani Raffaele Gravina and Giancarlo Fortino. 2022. A novel multimodal fusion framework for early diagnosis and accurate classification of COVID-19 patients using X-ray images and speech signal processing techniques. Computer methods and programs in biomedicine 226 (2022) 107109.

5. Ensemble multimodal deep learning for early diagnosis and accurate classification of COVID-19

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