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A preliminary study of visualizing texture components of stage IA lung adenocarcinoma in three-dimensional thoracic CT images with structure-texture image decomposition.

, , , , , , , , , и . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, том 11317 из SPIE Proceedings, стр. 113170G. SPIE, (2020)

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A preliminary study of visualizing texture components of stage IA lung adenocarcinoma in three-dimensional thoracic CT images with structure-texture image decomposition., , , , , , , , , и . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, том 11317 из SPIE Proceedings, стр. 113170G. SPIE, (2020)The results in the clinical trial of CAD system for lung cancer using helical CT images., , , , , , , , и . ICIP (1), стр. 313-316. IEEE, (2001)Computerized characterization of contrast enhancement patterns for classifying pulmonary nodules., , , , , , , , , и . ICIP (2), стр. 897-900. IEEE, (2001)Classification of pulmonary blood vessel using multidetector-row CT images., , , , , , , и . ICIP (2), стр. 841-844. IEEE, (2001)Patterns for classifying pulmonary nodules based on dynamic CT images., , , , , , , , , и . CARS, том 1230 из International Congress Series, стр. 1305-1306. Elsevier, (2001)CAD system to support comparative reading for lung cancer based on helical CT images., , , , , , , , , и 2 other автор(ы). CARS, том 1230 из International Congress Series, стр. 615-620. Elsevier, (2001)Automated detection method of thoracic aorta calcification from non-contrast CT images using mediastinal anatomical label map., , , , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 12465 из SPIE Proceedings, SPIE, (2023)OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples., , и . AAAI, стр. 21258-21266. AAAI Press, (2024)IMPARA: Impact-Based Metric for GEC Using Parallel Data., , и . COLING, стр. 3578-3588. International Committee on Computational Linguistics, (2022)Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A Study on Performance and Controllability in Prompt-Based Methods., , , и . BEA@ACL, стр. 205-219. Association for Computational Linguistics, (2023)