E-grāmata: Mitosis Domain Generalization and Diabetic Retinopathy Analysis: MICCAI Challenges MIDOG 2022 and DRAC 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18-22, 2022, Proceedings

Preface DRAC 2022.- nnU-Net Pre- and Postprocessing Strategies for
UW-OCTA Segmentation Tasks in Diabetic Retinopathy Analysis.- Automated
analysis of diabetic retinopathy using vessel segmentation maps as inductive
bias.- Bag of Tricks for Diabetic Retinopathy Grading of Ultra-wide Optical
Coherence Tomography Angiography Images.- Deep convolutional neural network
for image quality assessment and diabetic retinopathy grading.- Diabetic
Retinal Overlap Lesion Segmentation Network.- An Ensemble Method to
Automatically Grade Diabetic Retinopathy with Optical Coherence Tomography
Angiography Images.- Bag of Tricks for Developing Diabetic Retinopathy
Analysis Framework to Overcome Data Scarcity.- Deep-OCTA: Ensemble Deep
Learning Approaches for Diabetic Retinopathy Analysis on OCTA Images.- Deep
Learning-based Multi-tasking System for Diabetic Retinopathy in UW-OCTA
images.- Semi-Supervised Semantic Segmentation Methods for UW-OCTA Diabetic
Retinopathy Grade Assessment.- ImageQuality Assessment based on Multi-Model
Ensemble Class-Imbalance Repair Algorithm for Diabetic Retinopathy UW-OCTA
Images.- An improved U-Net for diabetic retinopathy segmentation.- A Vision
transformer based deep learning architecture for automatic diagnosis of
diabetic retinopathy in optical coherence tomography angiography.-
Segmentation, Classification, and Quality Assessment of UW-OCTA Images for
the Diagnosis of Diabetic Retinopathy.- Data Augmentation by Fourier
Transformation for Class-Imbalance : Application to Medical Image Quality
Assessment.- Automatic image quality assessment and DR grading method based
on convolutional neural network.- A transfer learning based model ensemble
method for image quality assessment and diabetic retinopathy grading.-
Automatic Diabetic Retinopathy Lesion Segmentation in UW-OCTA Images using
Transfer Learning.- Preface MIDOG 2022.- Reference Algorithms for the Mitosis
Domain Generalization (MIDOG) 2022 Challenge.- Radial Prediction Domain
Adaption Classifier for the MIDOG 2022 challenge.- Detecting Mitoses with a
Convolutional Neural Network for MIDOG 2022 Challenge.- Tackling Mitosis
Domain Generalization in Histopathology Images with Color Normalization.- "A
Deep Learning based Ensemble Model for Generalized Mitosis Detection in H&E
stained Whole Slide Images".- Fine-Grained Hard-Negative Mining: Generalizing
Mitosis Detection with a Fifth of the MIDOG 2022 Dataset.- Multi-task
RetinaNet for mitosis detection.