Table of Contents: “... in Kidney Transplant Pathology -- Boosting Knowledge Distillation via Random Fourier Features for Prostate Cancer Grading in Histopathology Images -- Semi-supervised Domain Adaptation for Automatic Quality Control of FLAIR MRIs in a Clinical Data Warehouse...”

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Table of Contents: “... drug sensitivity based on GBDT-RF algorithm -- Risk stratification of malignant melanoma using neural networks -- Symmetry-Aware Siamese Network: Exploiting Pathological Asymmetry for Chest X-Ray Analysis -- The Optimization and Parallelization of Two...”

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Table of Contents: “... Radiographs -- Disentangled Representation Learning for Privacy-Preserving Case-Based Explanations -- Instance-Specific Augmentation of Brain MRIs with Variational Autoencoder -- Low-rank and Sparse Metamorphic Autoencoders for Unsupervised Pathology...”

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Table of Contents: “... for Health and Medicine -- Twitter Flu Trend: A Hybrid Deep Neural Network for Tweet Analysis -- Data Augmentation for Pathology Prioritisation: An Improved LSTM-Based Approach -- Scanned ECG Arrhythmia Classification Using a Pre-trained Convolutional Neural...”

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Table of Contents: “... from Self-supervision -- AutoSeg - Steering the Inductive Biases for Automatic Pathology Segmentation -- Preface Learn2Reg 2021 -- Deformable Registration of Brain MR Images via a Hybrid Loss -- Fraunhofer MEVIS Image Registration Solutions for the Learn2Reg...”

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Table of Contents: “... with Pathological Images -- Vessel Segmentation via Link Prediction of Graph Neural Networks -- A Bagging Strategy-Based Multi-Scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset -- Liver Segmentation...”

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Table of Contents: “... Reconstruction -- Hierarchical X-Ray Report Generation via Pathology tags and Multi Head Attention -- Self-Guided Multiple Instance Learning for Weakly Supervised Thoracic Disease Classification and Localizationin Chest Radiographs -- MBNet: A Multi-Task Deep Neural...”

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Table of Contents: “... Fully Convolutional Network for Iris Segmentation -- CAB-Net: Channel Attention Block Network for Pathological image cell nucleus segmentation -- Region Context Aggregation Network for Multi-organ Segmentation on Abdominal CT -- A Reversible Digital...”

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