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Colorectal Cancer Classification using Deep Convolutional Networks - An Experimental Study.

, , , and . BIOIMAGING, page 58-66. SciTePress, (2018)

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A Data Fusion Service-Oriented Infrastructure for Production Line Monitoring., , , , , , and . ICIT, page 1-8. IEEE, (2024)A Novel Proof-of-concept Framework for the Exploitation of ConvNets on Whole Slide Images., , , , , and . IIH-MSP (1), volume 81 of Smart Innovation, Systems and Technologies, page 125-136. Springer, (2017)Neuro-Symbolic Empowered Denoising Diffusion Probabilistic Models for Real-Time Anomaly Detection in Industry 4.0: Wild-and-Crazy-Idea Paper., , , , , , , , , and 3 other author(s). FDL, page 1-4. IEEE, (2023)Going Deeper into Colorectal Cancer Histopathology., , , and . BIOSTEC (Selected Papers), volume 1024 of Communications in Computer and Information Science, page 114-131. Springer, (2018)An AI-Enabled Framework for Smart Semiconductor Manufacturing., , , , , , , , , and 5 other author(s). DATE, page 1-6. IEEE, (2024)High Resolution Explanation Maps for CNNs using Segmentation Networks., , , , and . VL/HCC, page 1-3. IEEE, (2022)A Bayesian approach to Expert Gate Incremental Learning., , , , , and . IJCNN, page 1-7. IEEE, (2021)A Multi-modal Brain Image Registration Framework for US-guided Neuronavigation Systems - Integrating MR and US for Minimally Invasive Neuroimaging., , , and . BIOIMAGING, page 114-121. SciTePress, (2017)Colorectal Cancer Classification using Deep Convolutional Networks - An Experimental Study., , , and . BIOIMAGING, page 58-66. SciTePress, (2018)Exploiting Üncertain" Deep Networks for Data Cleaning in Digital Pathology., , , , and . ISBI, page 1139-1143. IEEE, (2020)