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CT-CAPS: Feature Extraction-based Automated Framework for COVID-19 Disease Identification from Chest CT Scans using Capsule Networks.

, , , , , , and . CoRR, (2020)

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From Handcrafted to Deep-Learning-Based Cancer Radiomics: Challenges and opportunities., , , , and . IEEE Signal Process. Mag., 36 (4): 132-160 (2019)COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images., , , , , and . Pattern Recognit. Lett., (2020)CAE-Transformer: Transformer-based Model to Predict Invasiveness of Lung Adenocarcinoma Subsolid Nodules from Non-thin Section 3D CT Scans., , , , and . CoRR, (2021)Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications., , , , , , , , , and . CoRR, (2020)NYCTALE: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Prediction., , , and . CoRR, (2024)Lung Cancer Radiomics: Highlights from the IEEE Video and Image Processing Cup 2018 Student Competition SP Competitions., , , , , , and . IEEE Signal Process. Mag., 36 (1): 164-173 (2019)Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications., , , , , , , , , and . IEEE Signal Process. Mag., 38 (5): 37-66 (2021)COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT Scans., , , , , , , , , and 1 other author(s). Frontiers Artif. Intell., (2021)Spatio-Temporal Hybrid Fusion of CAE and SWin Transformers for Lung Cancer Malignancy Prediction., , , , , , and . ICASSP, page 1-5. IEEE, (2023)COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning., , , , , , , , , and . CoRR, (2020)