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Automated classification for pathological prostate images using AdaBoost-based Ensemble Learning.

, and . SSCI, page 1-4. IEEE, (2016)

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Semi-supervised color decomposition for histopathological images using exclusive component analysis.. MLSP, page 1-6. IEEE, (2015)Consciousness-driven model for visual attention., , , , and . IJCNN, page 1061-1066. IEEE, (2011)Automated Breast Cancer Image Classification Based on Integration of Noisy-And Model and Fully Connected Network., , , , , , and . ICIAR, volume 10882 of Lecture Notes in Computer Science, page 923-930. Springer, (2018)Bio-inspired computer visual system using GPU and Visual Pattern Assessment Language (ViPAL): Application on breast cancer prognosis., , , and . IJCNN, page 1-8. IEEE, (2010)Automated classification for pathological prostate images using AdaBoost-based Ensemble Learning., and . SSCI, page 1-4. IEEE, (2016)Pose estimation for vertebral mobility analysis using eXclusive-ICA based boosting (XICABoost) algorithm.. IJCNN, page 1-5. IEEE, (2013)QuST-LLM: Integrating Large Language Models for Comprehensive Spatial Transcriptomics Analysis.. CoRR, (2024)A Cellular Neural Network as a Principal Component Analyzer., , and . IJCNN, page 1163-1170. IEEE Computer Society, (2009)Texture boundary detection based on multiple and parallel cellular neural networks., and . ICECS, page 222-225. IEEE, (2004)Automated high-grade prostate cancer detection and ranking on whole slide images., and . Medical Imaging: Digital Pathology, volume 10140 of SPIE Proceedings, page 101400A. SPIE, (2017)