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Advanced Deep Learning Approaches for Accurate Brain Tumor Classification in Medical Imaging.

, , , , , , , , and . Symmetry, 15 (3): 571 (February 2023)

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TVFx - CoVID-19 X-Ray images classification approach using neural networks based feature thresholding technique., , , , , , and . BMC Medical Imaging, 23 (1): 146 (December 2023)Advanced Deep Learning Approaches for Accurate Brain Tumor Classification in Medical Imaging., , , , , , , , and . Symmetry, 15 (3): 571 (February 2023)Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning., , , , and . Comput. Methods Programs Biomed., (2022)Automatic analysis of lung adenocarcinoma histology whole slide images.. University of Warwick, Coventry, UK, (2018)British Library, EThOS.A bottom-up approach for tumour differentiation in whole slide images of lung adenocarcinoma., , , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 105810E. SPIE, (2018)Growth Pattern Fingerprinting for Automatic Analysis of Lung Adenocarcinoma Overall Survival., , , and . IEEE Access, (2023)A Multi-resolution Deep Learning Framework for Lung Adenocarcinoma Growth Pattern Classification., , , , and . MIUA, volume 894 of Communications in Computer and Information Science, page 3-11. Springer, (2018)Tumour Nuclear Morphometrics Predict Survival in Lung Adenocarcinoma., , and . IEEE Access, (2021)Automated Segmentation of Brain Tumor MRI Images Using Deep Learning., , , , , , , and . IEEE Access, (2023)A Discriminative Framework for Stain Deconvolution of Histopathology Images in the Maxwellian Space., , , and . MIUA, page 132-137. BMVA, (2015)