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Assessing the Impact of a Preprocessing Stage on Deep Learning Architectures for Breast Tumor Multi-class Classification with Histopathological Images.

, , , , и . CARLA, том 1087 из Communications in Computer and Information Science, стр. 262-275. Springer, (2019)

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Raquel Torrents Martín

Eva Barrena Algara

 

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Analysis of Gabor-Based Texture Features for the Identification of Breast Tumor Regions in Mammograms., , , , , и . CCIA, том 269 из Frontiers in Artificial Intelligence and Applications, стр. 149-158. IOS Press, (2014)A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning., , , , , , и . IJCNN, стр. 1-6. IEEE, (2020)Breast Masses Identification through Pixel-Based Texture Classification., , , , , , и . Digital Mammography / IWDM, том 8539 из Lecture Notes in Computer Science, стр. 581-588. Springer, (2014)Automatic Segmentation Of the Placenta and its Peripheral Vasculature in Volumetric Ultrasound for TTTS Fetal Surgery., , , , , , и . ISBI, стр. 772-775. IEEE, (2019)Classification of Breast Cancer Molecular Subtypes from Their Micro-Texture in Mammograms Using a VGGNet-Based Convolutional Neural Network., , , , , , , , , и . CCIA, том 300 из Frontiers in Artificial Intelligence and Applications, стр. 76-85. IOS Press, (2017)Retinal Optic Disc Segmentation Using Conditional Generative Adversarial Network., , , , , , , , , и 1 other автор(ы). CCIA, том 308 из Frontiers in Artificial Intelligence and Applications, стр. 373-380. IOS Press, (2018)Generalisability of deep learning models in low-resource imaging settings: A fetal ultrasound study in 5 African countries., , , , , , , , , и 7 other автор(ы). CoRR, (2022)Automatic Recognition of Molecular Subtypes of Breast Cancer in X-Ray images using Segmentation-based Fractal Texture Analysis., , , , и . CCIA, том 277 из Frontiers in Artificial Intelligence and Applications, стр. 247-256. IOS Press, (2015)Fetal MRI Synthesis via Balanced Auto-Encoder Based Generative Adversarial Networks., , , , , , и . EMBC, стр. 2599-2602. IEEE, (2018)Interactive Optic Disk Segmentation via Discrete Convexity Shape Knowledge Using High-Order Functionals., , , , и . CCIA, том 288 из Frontiers in Artificial Intelligence and Applications, стр. 39-44. IOS Press, (2016)